library(tidyverse)
## Warning: package 'tidyverse' was built under R version 4.0.5
## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --
## v ggplot2 3.3.3     v purrr   0.3.4
## v tibble  3.1.0     v dplyr   1.0.5
## v tidyr   1.1.2     v stringr 1.4.0
## v readr   1.4.0     v forcats 0.5.0
## Warning: package 'tibble' was built under R version 4.0.5
## Warning: package 'dplyr' was built under R version 4.0.5
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(haven) # to read data from .sav format from Qualtrics
library(codebook) # to generate codebook
library(here)
## here() starts at C:/Users/Nami Sunami/Documents/git/dissertation-private
# Codebook
knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = FALSE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_minimal())

Load Data

Download the .sav (SPSS) file from Qualtrics and load it with haven().

# Load data
s2_sav <- "Study2.sav"
s2_df <- haven::read_sav(here("data", s2_sav))

Masking - Drop Unneded Variables and Drop Unfinished Responses

Dropping variables such as IP Address, and panel metadata from Qualtrics. In addition, I’m dropping the location information since they are not used in my study. To further de-identify the participants, delete the PROLIFIC_PID and assign PID

s2_df <- s2_df %>% 
  select(-IPAddress,
         -(RecipientLastName:RecipientEmail),
         -ExternalReference,
         -LocationLatitude,
         -LocationLongitude,
         -PROLIFIC_PID)
# Drop Unfinished Responses (Responses without conditions are unfinished )
s2_df <- s2_df %>% 
  filter(essay_condition != "")
# Assign unique PID to each participant 
s2_df <- s2_df %>% 
  mutate(PID = row_number())

New Variables

Scale Variables

Scaled variables were - Parasocial Interaction Process Scale (PSI_1:PSI_12) - Reversed items: 2, 9, 10, - Narrative Engagement Scale (Narrative_Engagement_1:Narrative_Engagement_9) - Reversed items: 1, 2, 3, 4, 5 - On-The-Fly Measure of Social World (OTF_Social_World_1:OTF_Social_World_4) - No reversed items

# Parasocial Interaction Scale
PSI_rev_items <- paste0("PSI_", c(2, 9, 10)) # Reversed items
s2_df <- s2_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(PSI_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(PSI_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s2_df$PSI <- s2_df %>% select(starts_with("PSI_")) %>%
  aggregate_and_document_scale()

# Narrative Engagement Scale
NE_rev_items <- paste0("Narrative_Engagement_", c(1, 2, 3, 4, 5)) # Reversed items
s2_df <- s2_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(NE_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(NE_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s2_df$Narrative_Engagement <- s2_df %>% select(starts_with("Narrative_Engagement_")) %>%
  aggregate_and_document_scale()

# On-the-fly Measure of Social World ----------------------------------------
s2_df$OTF_Social_World <- s2_df %>% 
  select(starts_with("OTF_Social_World_")) %>% aggregate_and_document_scale()

# Enjoyment  ----------------------------------------
enjoyment_rev_items <- paste0("Enjoyment_", c(3)) # Reversed Item
s2_df <- s2_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(enjoyment_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(enjoyment_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s2_df$Enjoyment <- s2_df %>% select(starts_with("Enjoyment_")) %>%
  aggregate_and_document_scale()

Title Case Conditions

s2_df <- s2_df %>% 
  mutate(essay_condition_title = str_to_title(essay_condition))

Gender Identity

s2_df <- s2_df %>% 
  mutate(across(starts_with("Gender"),
                to_factor)) %>%
  unite("Gender_Identity", Gender_1:Gender_7_TEXT,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Gender_Identity = gsub('^\\s& |\\s& $', '', Gender_Identity)) %>%
  # Gropu into Female, Male, and Non-FM
  mutate(Gender_Identity_3GP = case_when(Gender_Identity == "Female" ~ "Female",
                                         Gender_Identity == "Male" ~ "Male",
                                         TRUE ~ "Other"))

Racial Identity

s2_df <- s2_df %>% 
  mutate(across(starts_with("Race_"),
                to_factor)) %>%
  unite("Race", Race_1:Race_8,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Race = gsub('^\\s& |\\s& $', '', Race)) %>%
  # Grouping in to White 
  mutate(Race_8GP = case_when(Race == "American Indian, Indigenous Canadian, or Alaska Native" ~ "American Indian, Indigenous Canadian, or Alaska Native",
                              Race == "Asian" ~ "Asian",
                              Race == "Black" ~ "Black",
                              Race == "Latino/Latina, Hispanic, Chicano, or Puerto Rican" ~ "Latino/Latina, Hispanic, Chicano, or Puerto Rican",
                              Race == "Middle Eastern or North African" ~ "Middle Eastern or North African",
                              Race == "Native Hawaiian or Pacific Islander" ~ "Native Hawaiian or Pacific Islander",
                              Race == "White" ~ "White",
                              TRUE ~ "Other/Multiracial"))

Parasocial Relationships Groups

# Parasocial Relationships Manipulation Check ------------------------------
# Create variable for parasocial values 
parasocial_labels <- c("No Interaction with NPC",
                       "No Parasocial Relationship with NPC",
                       "Formed Parasocial Relationship with NPC")
# Add the labels
s2_df <- s2_df %>% 
  mutate(parasocial_MC_group = 
           case_when(Interact_with_NPC == 2 ~ 1,
                     Interact_with_NPC == 1 & IOS == 0 ~ 2,
                     Interact_with_NPC == 1 & IOS > 0 ~ 3),
         parasocial_MC_group = ordered(parasocial_MC_group,
                                       levels = c(1, 2, 3),
                                       labels = parasocial_labels))

New Variable: Attention Check

# Mark participants with Attention Checks
s2_df <- s2_df %>% 
  # Rejection Attention Check
  mutate(attention_rejection_correct = 
           case_when(Attention_Rejection == 1 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # Social World Attention Check
  mutate(attention_VG_correct =  
           case_when(essay_condition == "social surrogacy" & Attention_VG == 1 ~ TRUE,
                     essay_condition == "non-social surrogacy" & Attention_VG == 2 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # All Attention Checks
  mutate(attention_all_correct = 
           case_when(attention_rejection_correct == TRUE &
                       attention_VG_correct == TRUE ~ TRUE,
                     TRUE ~ FALSE))

Condtiion Name to Title Case

# Condition names to title case
s2_df <- s2_df %>% 
  mutate(essay_condition = str_to_title(essay_condition))

Video Game and Coding

# read coder data
coderA <- read_csv(here("data", "Study2_codes", "coderA.csv")) %>%
 mutate("coder" = "A")
## 
## -- Column specification --------------------------------------------------------
## cols(
##   ResponseId = col_character(),
##   essay_condition = col_character(),
##   target_game_name = col_character(),
##   followed_instructions = col_character()
## )
coderB <- read_csv(here("data", "Study2_codes", "coderB.csv")) %>%
 mutate("coder" = "B")
## 
## -- Column specification --------------------------------------------------------
## cols(
##   ResponseId = col_character(),
##   essay_condition = col_character(),
##   target_game_name = col_character(),
##   followed_instructions = col_character()
## )
coderC <- read_csv(here("data", "Study2_codes", "coderC.csv")) %>%
 mutate("coder" = "C")
## 
## -- Column specification --------------------------------------------------------
## cols(
##   ResponseId = col_character(),
##   essay_condition = col_character(),
##   target_game_name = col_character(),
##   followed_instructions = col_character()
## )
# Bind all data into a long format
codes_long <- coderA %>% bind_rows(coderB, coderC) %>% select(coder, everything())
# Convert to Wide
codes_wide <- codes_long %>% pivot_wider(names_from = coder ,
                                         values_from = followed_instructions)
# Agreement columns among the coders
codes_wide <- codes_wide %>% 
  mutate(agreeAB = A == B, agreeAC = A == C, agreeBC = B == C)
# Summry table showing agreement 
codes_summary <- codes_wide %>% 
  dplyr::summarize(across(c(agreeAB, agreeAC, agreeBC),
                   ~sum(.)/n()))
codes_summary <- codes_summary %>%
  pivot_longer(everything(), names_to = "pair", values_to = "agreement") %>% 
  mutate(rank = rank(desc(agreement)))
agreements_list <- codes_summary %>% select(pair, agreement) %>% deframe %>% as.list()
# (0.805 + 0.772 + 0.824)/3
# Add percentage agreements 
codes_wide <- codes_wide %>% 
  mutate(agreeAB_percent = agreements_list$agreeAB,
         agreeAC_percent = agreements_list$agreeAC,
         agreeBC_percent = agreements_list$agreeBC) %>% 
  # then roowise operation to calculate the mean of the agreement
  mutate(agree_overall_percent = mean(c(agreeAB_percent, agreeAC_percent, agreeBC_percent))) %>% 
  ungroup()
# Highest pair
highest_pair <- codes_summary %>% filter(rank == 1) %>% pull(pair)
highest_coders <- highest_pair %>% str_extract_all("[ABC]") %>% .[[1]]
third_rater <- c("A", "B", "C") %>% str_remove(paste(highest_coders, collapse = "|")) %>%
  paste(collapse = "")
one_of_highest <- str_extract(highest_pair, ".$")
# Add initial codes to the codes_wide 
codes_wide <- codes_wide %>% 
  mutate(initial_codes = !!sym(one_of_highest))
# Final codes
codes_wide <- codes_wide %>% 
  mutate(highest_pair = highest_coders %>% str_c(collapse = ""),
         third_rater = third_rater) %>% 
  mutate(followed_VGinstructions = case_when(!!sym(highest_pair) == TRUE ~ initial_codes,
                                 TRUE ~ !!sym(third_rater))) 
# add to the main data frame
s2_df <- s2_df %>% left_join(select(codes_wide, -essay_condition, -target_game_name), by = "ResponseId", )

# Codes Table
codes_wide %>% group_by(followed_VGinstructions) %>% summarise(n = n())
## # A tibble: 2 x 2
##   followed_VGinstructions     n
##   <chr>                   <int>
## 1 No                         51
## 2 Yes                       370

Convert to Long

# Full long-format data
s2_df_long <- s2_df %>% 
  pivot_longer(cols = c(starts_with("T1_"),
                        starts_with("T2_"))) %>% 
  mutate(Time = str_extract(name, "T1|T2"),
         Variable = str_replace(name, "T1_|T2_", "")) %>% 
  # Pivoting wider so that each variable has its own column
  pivot_wider(id_cols = c(PID, Time, essay_condition),
              names_from = Variable) %>%
  # Spell Out Time 1 vs Time 2 
  mutate(Time = case_when(Time == "T1" ~ "Time 1",
                          Time == "T2" ~ "Time 2")) %>%
  rename_all(~str_replace(., "_1", ""))

Delete Open-Ended Responses

I exported the data to a cleaned public dataset for analysis. Since the dataset will be public, and the answers to the open-ended responses could potentially be personally identifiable, I dropped the answers to the following open-ended responses. - Rejection essay - Participants’ responses about the purpose of the study - Participants’ responses to share anything about the study I exported the dataset in both .rds and .csv formats. (Study2_public.rds, Study2_public.csv)

# Drop write-in responses for the public dataset
s2_public <- s2_df %>%
  # Masking Essay Responses
  mutate(across(c(NonSurrogacy_Essay, Surrogacy_Essay,
                Study_Purpose, Share_Anything), 
                ~"(Essay resposnes are masked. Please contact naoyuki.sunami@gmail.com)"))

Export Public Dataset

# Save as .rds and .csv 
write_rds(s2_public, here("data_public", "Study2_public.rds"))
write_csv(s2_public, here("data_public", "Study2_public.csv"))

# SaveLong Dataset
write_rds(s2_df_long, here("data_public", "Study2_public_long.rds"))
write_csv(s2_df_long, here("data_public", "Study2_public_long.csv"))

Codebook

I use codebook to add metadata.

# Study Name 
metadata(s2_df)$name <- "Nami Sunami's Dissertation - Study 2"
# Study Description
metadata(s2_df)$description <- paste0("

### Download link
[Open Science Framework](https://osf.io/XXXXX)

### Preprocessing
All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS. 

### A list of important abbreviations, prefixes and suffixes:

* PSI = Parasocial Interaction 
* PC = Player Character
")

# Study Identifier 
metadata(s2_df)$identifier <- "https://osf.io/jvk3u/"

# Date published 
metadata(s2_df)$datePublished <- "2015-10-07"

# Creator information 
metadata(s2_df)$creator <- list(
  "@type" = "Person",
  givenName = "Nami", familyName = "Sunami",
  email = "naoyuki.sunami@gmail.com", 
  affiliation = list("@type" = "Organization",
                     name = "University of Delaware, USA"))

# Citation Information
metadata(s2_df)$citation <- "XXXXXXXXX"
# URL
metadata(s2_df)$url <- "https://osf.io/XXXXXXXX/"
# Temporal Coverage
metadata(s2_df)$temporalCoverage <- "2021"
# Spacial Coverage 
metadata(s2_df)$spatialCoverage <- "Delaware, United States
# Distribution" 
metadata(s2_df)$distribution = list(
  list("@type" = "DataDownload",
       "requiresSubscription" = "http://schema.org/True",
       "encodingFormat" = "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
       contentUrl = "https://osf.io/XXXX/download")
)
codebook(s2_df)
## Loading required namespace: GPArotation
## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

Metadata

Description

Dataset name: Nami Sunami’s Dissertation - Study 2

Preprocessing

All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS.

A list of important abbreviations, prefixes and suffixes:

  • PSI = Parasocial Interaction
  • PC = Player Character
Metadata for search engines
name value
@type Person
givenName Nami
familyName Sunami
email
affiliation Organization , University of Delaware, USA
x
DataDownload
x
http://schema.org/True
x
https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml
x
https://osf.io/XXXX/download
x
StartDate
EndDate
Status
Progress
Duration_in_seconds
Finished
RecordedDate
ResponseId
DistributionChannel
UserLanguage
Q_RecaptchaScore
Age
Race
Race_1
Race_4
Race_2
Race_7
Race_8
Race_5
Race_3
Race_6
Race_6_TEXT
Relationship
Relationship_7_TEXT
Gender_Identity
Gender_1
Gender_2
Gender_8
Gender_6
Gender_7
Gender_7_TEXT
Sexori
Sexori_6_TEXT
T1_Heart_1
T1_Valence_1
T1_Arousal_1
T1_Dominance_1
timer_inst_First_Click
timer_inst_Last_Click
timer_inst_Page_Submit
timer_inst_Click_Count
surrogate_vg
nonsurrogate_vg
Rejection_Essay
Rejection_Timer_First_Click
Rejection_Timer_Last_Click
Rejection_Timer_Page_Submit
Rejection_Timer_Click_Count
NonSurrogacy_Essay
Surrogacy_Essay
VG_Essay_Timer_First_Click
VG_Essay_Timer_Last_Click
VG_Essay_Timer_Page_Submit
VG_Essay_Timer_Click_Count
T2_Heart_1
T2_Valence_1
T2_Arousal_1
T2_Dominance_1
Interact_with_NPC
IOS
PSI_1
PSI_2R
PSI_3
PSI_4
PSI_5
PSI_6
PSI_7
PSI_8
PSI_9R
PSI_10R
PSI_11
PSI_12
Single_Immersion
Narrative_Engagement_1R
Narrative_Engagement_2R
Narrative_Engagement_3R
Narrative_Engagement_4R
Narrative_Engagement_5R
Narrative_Engagement_6
Narrative_Engagement_7
Narrative_Engagement_8
Narrative_Engagement_9
OTF_Social_World_1
OTF_Social_World_2
OTF_Social_World_3
OTF_Social_World_4
Enjoyment_1
Enjoyment_2
Enjoyment_3R
Enjoyment_4
Enjoyment_5
VG_When_Played
VG_Freqency
Attention_Rejection
Attention_VG
Study_Purpose
Share_Anything
STUDY_ID
SESSION_ID
attention_rejection_correct
attention_VGessay_correct
attention_all_correct
debug
debug_condition
t_consent_submit
t_age_submit
t_race_submit
t_relationship_submit
t_gender_submit
t_sexori_submit
t_T1Heart_submit
t_T1Valence_submit
t_T1Arousal_submit
t_T1Dominance_submit
t_vgInst_submit
t_videoGameNomination_submit
t_rejectionEssayIntro_submit
t_rejectionEssay_submit
t_surrogacyEssayIntro_submit
t_surrogacyEssay_submit
t_T2Heart_submit
t_T2Valence_submit
t_T2Arousal_submit
t_T2Dominance_submit
t_intractCharacters_submit
t_IOS_submit
t_PSI_submit
t_singleImmersion_submit
t_narrativeEngagement_submit
t_otfSocialWorld_submit
t_enjoyment_submit
t_frequency_submit
t_attentionRejection_submit
t_attentionVideoGame_submit
t_debriefingInfo_submit
essay_condition
target_game_name
Note
PID
PSI
Narrative_Engagement
OTF_Social_World
Enjoyment
essay_condition_title
Gender_Identity_3GP
Race_8GP
parasocial_MC_group
attention_VG_correct
A
B
C
agreeAB
agreeAC
agreeBC
agreeAB_percent
agreeAC_percent
agreeBC_percent
agree_overall_percent
initial_codes
highest_pair
third_rater
followed_VGinstructions

#Variables

StartDate

Start Date

Distribution

## 419  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max format.spss display_width
StartDate Start Date POSIXct 0 1 419 2021-03-16 11:13:53 2021-03-17 13:10:41 2021-04-14 05:00:08 DATETIME20 0

EndDate

End Date

Distribution

## 423  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max format.spss display_width
EndDate End Date POSIXct 0 1 423 2021-03-16 11:27:03 2021-03-17 13:31:25 2021-04-14 05:24:11 DATETIME20 0

Status

Response Type

Distribution

Distribution of values for Status

Distribution of values for Status

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Status Response Type haven_labelled 0 1 0 0 0 0 0 12 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
IP Address 0
Survey Preview 1
Survey Test 2
Imported 4
Spam 8
Survey Preview Spam 9
Imported Spam 12
Offline 16
Offline Survey Preview 17
EX 32
EX Spam 40
EX Offline 48

Progress

Progress

Distribution

Distribution of values for Progress

Distribution of values for Progress

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Progress Progress numeric 0 1 38 100 100 99.64623 4.432561 <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0

Duration_in_seconds

Duration (in seconds)

Distribution

Distribution of values for Duration__in_seconds_

Distribution of values for Duration_in_seconds

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Duration_in_seconds Duration (in seconds) numeric 0 1 115 1192 3903 1331.934 522.368 <U+2582><U+2587><U+2582><U+2581><U+2581> F40.2 0

Finished

Finished

Distribution

Distribution of values for Finished

Distribution of values for Finished

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Finished Finished haven_labelled 0 1 0 1 1 0.9929245 0.0839167 2 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587> F40.0 0

Value labels

Response choices
name value
False 0
True 1

RecordedDate

Recorded Date

Distribution

## 421  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max format.spss display_width
RecordedDate Recorded Date POSIXct 0 1 421 2021-03-16 11:27:04 2021-03-17 13:31:25 2021-04-14 05:24:11 DATETIME20 0

ResponseId

Response ID

Distribution

Distribution of values for ResponseId

Distribution of values for ResponseId

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
ResponseId Response ID character 0 1 424 0 17 17 0 A50 0

DistributionChannel

Distribution Channel

Distribution

Distribution of values for DistributionChannel

Distribution of values for DistributionChannel

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
DistributionChannel Distribution Channel character 0 1 1 0 9 9 0 A255 0

UserLanguage

User Language

Distribution

Distribution of values for UserLanguage

Distribution of values for UserLanguage

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
UserLanguage User Language character 0 1 1 0 2 2 0 A255 0

Q_RecaptchaScore

Q_RecaptchaScore

Distribution

Distribution of values for Q_RecaptchaScore

Distribution of values for Q_RecaptchaScore

4 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Q_RecaptchaScore Q_RecaptchaScore numeric 4 0.990566 0.3 1 1 0.962619 0.0794239 <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0

Age

Age

Distribution

Distribution of values for Age

Distribution of values for Age

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Age Age numeric 0 1 18 22 59 24.69811 7.094325 <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0

Race

Distribution

Distribution of values for Race

Distribution of values for Race

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Race character 0 1 6 362 0 57 0 NA

Race_1

Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native

Distribution

## No non-missing values to show.

424 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_1 Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native factor FALSE 1. American Indian, Indigenous Canadian, or Alaska Native 424 0 0 Ame: 0

Race_4

Race - Selected Choice Asian

Distribution

Distribution of values for Race_4

Distribution of values for Race_4

413 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_4 Race - Selected Choice Asian factor FALSE 1. Asian 413 0.0259434 1 Asi: 11

Race_2

Race - Selected Choice Black

Distribution

Distribution of values for Race_2

Distribution of values for Race_2

418 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_2 Race - Selected Choice Black factor FALSE 1. Black 418 0.0141509 1 Bla: 6

Race_7

Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican

Distribution

Distribution of values for Race_7

Distribution of values for Race_7

383 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_7 Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican factor FALSE 1. Latino/Latina, Hispanic, Chicano, or Puerto Rican 383 0.0966981 1 Lat: 41

Race_8

Race - Selected Choice Middle Eastern or North African

Distribution

Distribution of values for Race_8

Distribution of values for Race_8

419 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_8 Race - Selected Choice Middle Eastern or North African factor FALSE 1. Middle Eastern or North African 419 0.0117925 1 Mid: 5

Race_5

Race - Selected Choice Native Hawaiian or Pacific Islander

Distribution

## No non-missing values to show.

424 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_5 Race - Selected Choice Native Hawaiian or Pacific Islander factor FALSE 1. Native Hawaiian or Pacific Islander 424 0 0 Nat: 0

Race_3

Race - Selected Choice White

Distribution

Distribution of values for Race_3

Distribution of values for Race_3

59 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_3 Race - Selected Choice White factor FALSE 1. White 59 0.8608491 1 Whi: 365

Race_6

Race - Selected Choice Prefer to self-describe

Distribution

Distribution of values for Race_6

Distribution of values for Race_6

413 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_6 Race - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe 413 0.0259434 1 Pre: 11

Race_6_TEXT

Race - Prefer to self-describe - Text

Distribution

## 12  unique, categorical values, so not shown.

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".
name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_6_TEXT Race - Prefer to self-describe - Text factor FALSE 1. ,
2. African European,
3. Caucasian,
4. Coloured,
5. European,
6. Italian,
7. Mediterranean,
8. Mediterranian,
9. Mexican,
10. Mixed white/black,
11. No classification,
12. Portuguese
0 1 12 emp: 413, Afr: 1, Cau: 1, Col: 1

Relationship

Relationship Status - Selected Choice

Distribution

Distribution of values for Relationship

Distribution of values for Relationship

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Relationship Relationship Status - Selected Choice haven_labelled 0 1 1 4 7 3.238208 1.64521 7 <U+2583><U+2587><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581> F40.0 0

Value labels

Response choices
name value
Single—not interested in dating 1
Single—interested in dating 2
Dating Casually 3
Dating Exclusively 4
Engaged 5
Married 6
Other (specify): 7

Relationship_7_TEXT

Relationship Status - Other (specify): - Text

Distribution

Distribution of values for Relationship_7_TEXT

Distribution of values for Relationship_7_TEXT

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Relationship_7_TEXT Relationship Status - Other (specify): - Text character 0 1 11 413 0 42 0 A255 0

Gender_Identity

Distribution

Distribution of values for Gender_Identity

Distribution of values for Gender_Identity

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Gender_Identity character 0 1 8 0 4 59 0 NA

Gender_1

Gender - Selected Choice Male

Distribution

Distribution of values for Gender_1

Distribution of values for Gender_1

137 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_1 Gender - Selected Choice Male factor FALSE 1. Male 137 0.6768868 1 Mal: 287

Gender_2

Gender - Selected Choice Female

Distribution

Distribution of values for Gender_2

Distribution of values for Gender_2

289 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_2 Gender - Selected Choice Female factor FALSE 1. Female 289 0.3183962 1 Fem: 135

Gender_8

Gender - Selected Choice Nonbinary

Distribution

Distribution of values for Gender_8

Distribution of values for Gender_8

421 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_8 Gender - Selected Choice Nonbinary factor FALSE 1. Nonbinary 421 0.0070755 1 Non: 3

Gender_6

Gender - Selected Choice Unsure

Distribution

Distribution of values for Gender_6

Distribution of values for Gender_6

422 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_6 Gender - Selected Choice Unsure factor FALSE 1. Unsure 422 0.004717 1 Uns: 2

Gender_7

Gender - Selected Choice Prefer to self-describe

Distribution

Distribution of values for Gender_7

Distribution of values for Gender_7

422 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_7 Gender - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe 422 0.004717 1 Pre: 2

Gender_7_TEXT

Gender - Prefer to self-describe - Text

Distribution

## 3  unique, categorical values, so not shown.

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".
name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_7_TEXT Gender - Prefer to self-describe - Text factor FALSE 1. ,
2. Genderfluid,
3. there are only two genders
0 1 3 emp: 422, Gen: 1, the: 1

Sexori

Sexual Orientation - Selected Choice

Distribution

Distribution of values for Sexori

Distribution of values for Sexori

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Sexori Sexual Orientation - Selected Choice haven_labelled 0 1 1 1 8 1.561321 1.43776 7 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
Heterosexual 1
Gay/lesbian 2
Bisexual 3
Asexual 7
Pansexual 8
Unsure 5
Prefer to self-describe 6

Sexori_6_TEXT

Sexual Orientation - Prefer to self-describe - Text

Distribution

Distribution of values for Sexori_6_TEXT

Distribution of values for Sexori_6_TEXT

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Sexori_6_TEXT Sexual Orientation - Prefer to self-describe - Text character 0 1 4 421 0 21 0 A255 0

T1_Heart_1

T1 Heart

Distribution

Distribution of values for T1_Heart_1

Distribution of values for T1_Heart_1

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Heart_1 T1 Heart numeric 0 1 1 7 9 6.28066 1.959158 <U+2581><U+2585><U+2582><U+2587><U+2587> F40.2 0

T1_Valence_1

T1 Valence

Distribution

Distribution of values for T1_Valence_1

Distribution of values for T1_Valence_1

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Valence_1 T1 Valence numeric 0 1 1 6 9 5.943396 1.917101 <U+2581><U+2583><U+2582><U+2587><U+2585> F40.2 0

T1_Arousal_1

T1 Arousal

Distribution

Distribution of values for T1_Arousal_1

Distribution of values for T1_Arousal_1

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Arousal_1 T1 Arousal numeric 0 1 1 4 9 4.183962 1.704986 <U+2582><U+2587><U+2582><U+2583><U+2581> F40.2 0

T1_Dominance_1

T1 Dominance

Distribution

Distribution of values for T1_Dominance_1

Distribution of values for T1_Dominance_1

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Dominance_1 T1 Dominance numeric 0 1 1 6 9 5.877358 1.704966 <U+2581><U+2583><U+2582><U+2587><U+2583> F40.2 0

timer_inst_First_Click

Timing - First Click

Distribution

Distribution of values for timer_inst_First_Click

Distribution of values for timer_inst_First_Click

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
timer_inst_First_Click Timing - First Click numeric 0 1 0 0 105 2.512307 10.57013 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

timer_inst_Last_Click

Timing - Last Click

Distribution

Distribution of values for timer_inst_Last_Click

Distribution of values for timer_inst_Last_Click

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
timer_inst_Last_Click Timing - Last Click numeric 0 1 0 0 106 3.030012 10.95781 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

timer_inst_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for timer_inst_Page_Submit

Distribution of values for timer_inst_Page_Submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
timer_inst_Page_Submit Timing - Page Submit numeric 0 1 1.1 8.8 379 15.51126 31.05969 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

timer_inst_Click_Count

Timing - Click Count

Distribution

Distribution of values for timer_inst_Click_Count

Distribution of values for timer_inst_Click_Count

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
timer_inst_Click_Count Timing - Click Count numeric 0 1 0 0 13 0.5613208 1.523966 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

surrogate_vg

Social surrogate game

Distribution

Distribution of values for surrogate_vg

Distribution of values for surrogate_vg

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
surrogate_vg Social surrogate game character 0 1 217 0 3 66 0 A255 0

nonsurrogate_vg

Non-social surrogate game

Distribution

Distribution of values for nonsurrogate_vg

Distribution of values for nonsurrogate_vg

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
nonsurrogate_vg Non-social surrogate game character 0 1 220 0 3 154 0 A255 0

Rejection_Essay

Write about a time you felt rejected by a close other

Distribution

Distribution of values for Rejection_Essay

Distribution of values for Rejection_Essay

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Rejection_Essay Write about a time you felt rejected by a close other character 0 1 423 2 0 2000 0 A255 0

Rejection_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for Rejection_Timer_First_Click

Distribution of values for Rejection_Timer_First_Click

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_First_Click Timing - First Click numeric 2 0.995283 0.54 35 1036 64.45552 107.1393 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Rejection_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for Rejection_Timer_Last_Click

Distribution of values for Rejection_Timer_Last_Click

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_Last_Click Timing - Last Click numeric 2 0.995283 18 203 1260 212.9369 169.2124 <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0

Rejection_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for Rejection_Timer_Page_Submit

Distribution of values for Rejection_Timer_Page_Submit

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_Page_Submit Timing - Page Submit numeric 2 0.995283 188 257 1437 306.4744 150.4319 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Rejection_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for Rejection_Timer_Click_Count

Distribution of values for Rejection_Timer_Click_Count

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_Click_Count Timing - Click Count numeric 2 0.995283 2 6 54 9.00237 8.752739 <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0

NonSurrogacy_Essay

Write about the Non-Social Surrogacy Game

Distribution

Distribution of values for NonSurrogacy_Essay

Distribution of values for NonSurrogacy_Essay

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
NonSurrogacy_Essay Write about the Non-Social Surrogacy Game character 0 1 206 219 0 1005 0 A255 0

Surrogacy_Essay

Write about the Social Surrogacy Game

Distribution

Distribution of values for Surrogacy_Essay

Distribution of values for Surrogacy_Essay

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Surrogacy_Essay Write about the Social Surrogacy Game character 0 1 218 207 0 1870 0 A255 0

VG_Essay_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for VG_Essay_Timer_First_Click

Distribution of values for VG_Essay_Timer_First_Click

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
VG_Essay_Timer_First_Click Timing - First Click numeric 2 0.995283 0.17 19 541 37.58589 60.03256 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

VG_Essay_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for VG_Essay_Timer_Last_Click

Distribution of values for VG_Essay_Timer_Last_Click

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
VG_Essay_Timer_Last_Click Timing - Last Click numeric 2 0.995283 5.5 182 922 176.8448 149.5886 <U+2587><U+2586><U+2581><U+2581><U+2581> F40.2 0

VG_Essay_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for VG_Essay_Timer_Page_Submit

Distribution of values for VG_Essay_Timer_Page_Submit

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
VG_Essay_Timer_Page_Submit Timing - Page Submit numeric 2 0.995283 89 228 1057 268.7417 116.2416 <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0

VG_Essay_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for VG_Essay_Timer_Click_Count

Distribution of values for VG_Essay_Timer_Click_Count

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
VG_Essay_Timer_Click_Count Timing - Click Count numeric 2 0.995283 2 5 54 7.71564 7.460407 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

T2_Heart_1

T2 Heart

Distribution

Distribution of values for T2_Heart_1

Distribution of values for T2_Heart_1

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Heart_1 T2 Heart numeric 2 0.995283 1 7 9 6.35545 1.886747 <U+2581><U+2583><U+2582><U+2587><U+2586> F40.2 0

T2_Valence_1

T2 Valence

Distribution

Distribution of values for T2_Valence_1

Distribution of values for T2_Valence_1

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Valence_1 T2 Valence numeric 2 0.995283 1 6 9 6.232227 1.803429 <U+2581><U+2583><U+2582><U+2587><U+2585> F40.2 0

T2_Arousal_1

T2 Arousal

Distribution

Distribution of values for T2_Arousal_1

Distribution of values for T2_Arousal_1

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Arousal_1 T2 Arousal numeric 3 0.9929245 1 5 9 4.874109 1.906335 <U+2582><U+2587><U+2583><U+2586><U+2582> F40.2 0

T2_Dominance_1

T2 Dominance

Distribution

Distribution of values for T2_Dominance_1

Distribution of values for T2_Dominance_1

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Dominance_1 T2 Dominance numeric 2 0.995283 1 6 9 6.130332 1.654068 <U+2581><U+2582><U+2582><U+2587><U+2583> F40.2 0

Interact_with_NPC

Did you interact with an NPC?

Distribution

Distribution of values for Interact_with_NPC

Distribution of values for Interact_with_NPC

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Interact_with_NPC Did you interact with an NPC? haven_labelled 2 0.995283 1 1 2 1.412322 0.4928369 2 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586> F40.0 0

Value labels

Response choices
name value
Yes 1
No 2

IOS

IOS with an NPC

Distribution

Distribution of values for IOS

Distribution of values for IOS

176 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
IOS IOS with an NPC haven_labelled 176 0.5849057 0 3 6 2.991935 1.740194 7 <U+2583><U+2586><U+2587><U+2587><U+2581><U+2587><U+2586><U+2583> F40.0 0

Value labels

Response choices
name value
0 0
1 1
2 2
3 3
4 4
5 5
6 6

Single_Immersion

While playing the game, I felt completely immersed.

Distribution

Distribution of values for Single_Immersion

Distribution of values for Single_Immersion

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Single_Immersion While playing the game, I felt completely immersed. haven_labelled 2 0.995283 -3 2 3 1.85545 1.296975 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587><U+2587> F40.0 0

Value labels

Response choices
name value
Strongly disagree -3 -3
-2 -2
-1 -1
0 0
1 1
2 2
Strongly agree 3 3

VG_When_Played

When did you play the game?

Distribution

Distribution of values for VG_When_Played

Distribution of values for VG_When_Played

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
VG_When_Played When did you play the game? character 0 1 177 3 0 73 0 A255 0

VG_Freqency

How frequently and how long did you play the game?

Distribution

Distribution of values for VG_Freqency

Distribution of values for VG_Freqency

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
VG_Freqency How frequently and how long did you play the game? character 0 1 369 3 0 190 0 A255 0

Attention_Rejection

What did you write in the first essay?

Distribution

Distribution of values for Attention_Rejection

Distribution of values for Attention_Rejection

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Attention_Rejection What did you write in the first essay? haven_labelled 3 0.9929245 1 1 3 1.021378 0.1746261 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
about a time I felt rejected 1
about a time I felt accepted 2
about my morning yesterday 3

Attention_VG

What did you write in the second essay?

Distribution

Distribution of values for Attention_VG

Distribution of values for Attention_VG

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Attention_VG What did you write in the second essay? haven_labelled 3 0.9929245 1 1 3 1.491686 0.5052602 3 <U+2587><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
\({q://QID3/ChoiceTextEntryValue} | 1| |\){q://QID4/ChoiceTextEntryValue} 2
unsure 3

Study_Purpose

Did you wonder about the purposes?

Distribution

Distribution of values for Study_Purpose

Distribution of values for Study_Purpose

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Study_Purpose Did you wonder about the purposes? character 0 1 353 37 0 385 0 A255 0

Share_Anything

Is there anything you’d like to share?

Distribution

Distribution of values for Share_Anything

Distribution of values for Share_Anything

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Share_Anything Is there anything you’d like to share? character 0 1 243 130 0 515 0 A255 0

STUDY_ID

STUDY_ID

Distribution

Distribution of values for STUDY_ID

Distribution of values for STUDY_ID

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
STUDY_ID STUDY_ID character 0 1 1 0 24 24 0 A255 0

SESSION_ID

SESSION_ID

Distribution

Distribution of values for SESSION_ID

Distribution of values for SESSION_ID

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
SESSION_ID SESSION_ID character 0 1 424 0 24 24 0 A255 0

attention_rejection_correct

Distribution

Distribution of values for attention_rejection_correct

Distribution of values for attention_rejection_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_rejection_correct logical 0 1 TRU: 414, FAL: 10 0.9764151 NA

attention_VGessay_correct

attention_VGessay_correct

Distribution

Distribution of values for attention_VGessay_correct

Distribution of values for attention_VGessay_correct

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
attention_VGessay_correct attention_VGessay_correct character 0 1 2 0 4 5 0 A255 0

attention_all_correct

Distribution

Distribution of values for attention_all_correct

Distribution of values for attention_all_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_all_correct logical 0 1 TRU: 409, FAL: 15 0.9646226 NA

debug

debug

Distribution

Distribution of values for debug

Distribution of values for debug

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
debug debug character 0 1 1 424 0 0 0 A255 0

debug_condition

debug_condition

Distribution

Distribution of values for debug_condition

Distribution of values for debug_condition

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
debug_condition debug_condition character 0 1 1 424 0 0 0 A255 0

t_age_submit

t_age_submit

Distribution

Distribution of values for t_age_submit

Distribution of values for t_age_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_age_submit t_age_submit character 0 1 424 1 0 24 0 A255 0

t_race_submit

t_race_submit

Distribution

Distribution of values for t_race_submit

Distribution of values for t_race_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_race_submit t_race_submit character 0 1 424 0 24 24 0 A255 0

t_relationship_submit

t_relationship_submit

Distribution

Distribution of values for t_relationship_submit

Distribution of values for t_relationship_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_relationship_submit t_relationship_submit character 0 1 424 0 24 24 0 A255 0

t_gender_submit

t_gender_submit

Distribution

Distribution of values for t_gender_submit

Distribution of values for t_gender_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_gender_submit t_gender_submit character 0 1 424 0 24 24 0 A255 0

t_sexori_submit

t_sexori_submit

Distribution

Distribution of values for t_sexori_submit

Distribution of values for t_sexori_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_sexori_submit t_sexori_submit character 0 1 424 0 24 24 0 A255 0

t_T1Heart_submit

t_T1Heart_submit

Distribution

Distribution of values for t_T1Heart_submit

Distribution of values for t_T1Heart_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Heart_submit t_T1Heart_submit character 0 1 424 0 24 24 0 A255 0

t_T1Valence_submit

t_T1Valence_submit

Distribution

Distribution of values for t_T1Valence_submit

Distribution of values for t_T1Valence_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Valence_submit t_T1Valence_submit character 0 1 424 0 24 24 0 A255 0

t_T1Arousal_submit

t_T1Arousal_submit

Distribution

Distribution of values for t_T1Arousal_submit

Distribution of values for t_T1Arousal_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Arousal_submit t_T1Arousal_submit character 0 1 423 0 24 24 0 A255 0

t_T1Dominance_submit

t_T1Dominance_submit

Distribution

Distribution of values for t_T1Dominance_submit

Distribution of values for t_T1Dominance_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Dominance_submit t_T1Dominance_submit character 0 1 424 0 24 24 0 A255 0

t_vgInst_submit

t_vgInst_submit

Distribution

Distribution of values for t_vgInst_submit

Distribution of values for t_vgInst_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_vgInst_submit t_vgInst_submit character 0 1 423 2 0 24 0 A255 0

t_videoGameNomination_submit

t_videoGameNomination_submit

Distribution

Distribution of values for t_videoGameNomination_submit

Distribution of values for t_videoGameNomination_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_videoGameNomination_submit t_videoGameNomination_submit character 0 1 424 0 24 24 0 A255 0

t_rejectionEssayIntro_submit

t_rejectionEssayIntro_submit

Distribution

Distribution of values for t_rejectionEssayIntro_submit

Distribution of values for t_rejectionEssayIntro_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_rejectionEssayIntro_submit t_rejectionEssayIntro_submit character 0 1 424 1 0 24 0 A255 0

t_rejectionEssay_submit

t_rejectionEssay_submit

Distribution

Distribution of values for t_rejectionEssay_submit

Distribution of values for t_rejectionEssay_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_rejectionEssay_submit t_rejectionEssay_submit character 0 1 423 2 0 24 0 A255 0

t_surrogacyEssayIntro_submit

t_surrogacyEssayIntro_submit

Distribution

Distribution of values for t_surrogacyEssayIntro_submit

Distribution of values for t_surrogacyEssayIntro_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_surrogacyEssayIntro_submit t_surrogacyEssayIntro_submit character 0 1 423 2 0 24 0 A255 0

t_surrogacyEssay_submit

t_surrogacyEssay_submit

Distribution

Distribution of values for t_surrogacyEssay_submit

Distribution of values for t_surrogacyEssay_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_surrogacyEssay_submit t_surrogacyEssay_submit character 0 1 423 2 0 24 0 A255 0

t_T2Heart_submit

t_T2Heart_submit

Distribution

Distribution of values for t_T2Heart_submit

Distribution of values for t_T2Heart_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Heart_submit t_T2Heart_submit character 0 1 423 2 0 24 0 A255 0

t_T2Valence_submit

t_T2Valence_submit

Distribution

Distribution of values for t_T2Valence_submit

Distribution of values for t_T2Valence_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Valence_submit t_T2Valence_submit character 0 1 423 2 0 24 0 A255 0

t_T2Arousal_submit

t_T2Arousal_submit

Distribution

Distribution of values for t_T2Arousal_submit

Distribution of values for t_T2Arousal_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Arousal_submit t_T2Arousal_submit character 0 1 423 2 0 24 0 A255 0

t_T2Dominance_submit

t_T2Dominance_submit

Distribution

Distribution of values for t_T2Dominance_submit

Distribution of values for t_T2Dominance_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Dominance_submit t_T2Dominance_submit character 0 1 423 2 0 24 0 A255 0

t_intractCharacters_submit

t_intractCharacters_submit

Distribution

Distribution of values for t_intractCharacters_submit

Distribution of values for t_intractCharacters_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_intractCharacters_submit t_intractCharacters_submit character 0 1 423 2 0 24 0 A255 0

t_IOS_submit

t_IOS_submit

Distribution

Distribution of values for t_IOS_submit

Distribution of values for t_IOS_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_IOS_submit t_IOS_submit character 0 1 251 174 0 24 0 A255 0

t_PSI_submit

t_PSI_submit

Distribution

Distribution of values for t_PSI_submit

Distribution of values for t_PSI_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_PSI_submit t_PSI_submit character 0 1 250 175 0 24 0 A255 0

t_singleImmersion_submit

t_singleImmersion_submit

Distribution

Distribution of values for t_singleImmersion_submit

Distribution of values for t_singleImmersion_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_singleImmersion_submit t_singleImmersion_submit character 0 1 422 3 0 24 0 A255 0

t_narrativeEngagement_submit

t_narrativeEngagement_submit

Distribution

Distribution of values for t_narrativeEngagement_submit

Distribution of values for t_narrativeEngagement_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_narrativeEngagement_submit t_narrativeEngagement_submit character 0 1 422 3 0 24 0 A255 0

t_otfSocialWorld_submit

t_otfSocialWorld_submit

Distribution

Distribution of values for t_otfSocialWorld_submit

Distribution of values for t_otfSocialWorld_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_otfSocialWorld_submit t_otfSocialWorld_submit character 0 1 422 3 0 24 0 A255 0

t_enjoyment_submit

t_enjoyment_submit

Distribution

Distribution of values for t_enjoyment_submit

Distribution of values for t_enjoyment_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_enjoyment_submit t_enjoyment_submit character 0 1 422 3 0 24 0 A255 0

t_frequency_submit

t_frequency_submit

Distribution

Distribution of values for t_frequency_submit

Distribution of values for t_frequency_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_frequency_submit t_frequency_submit character 0 1 422 3 0 24 0 A255 0

t_attentionRejection_submit

t_attentionRejection_submit

Distribution

Distribution of values for t_attentionRejection_submit

Distribution of values for t_attentionRejection_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_attentionRejection_submit t_attentionRejection_submit character 0 1 422 3 0 24 0 A255 0

t_attentionVideoGame_submit

t_attentionVideoGame_submit

Distribution

Distribution of values for t_attentionVideoGame_submit

Distribution of values for t_attentionVideoGame_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_attentionVideoGame_submit t_attentionVideoGame_submit character 0 1 422 3 0 24 0 A255 0

t_debriefingInfo_submit

t_debriefingInfo_submit

Distribution

Distribution of values for t_debriefingInfo_submit

Distribution of values for t_debriefingInfo_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_debriefingInfo_submit t_debriefingInfo_submit character 0 1 1 424 0 0 0 A255 0

essay_condition

Distribution

Distribution of values for essay_condition

Distribution of values for essay_condition

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
essay_condition character 0 1 2 0 16 20 0 NA

target_game_name

target_game_name

Distribution

Distribution of values for target_game_name

Distribution of values for target_game_name

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
target_game_name target_game_name character 0 1 255 0 3 154 0 A255 0

Note

Note

Distribution

Distribution of values for Note

Distribution of values for Note

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Note Note character 0 1 2 423 0 100 0 A255 0

PID

Distribution

Distribution of values for PID

Distribution of values for PID

0 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
PID numeric 0 1 1 212 424 212.5 122.5425 <U+2587><U+2587><U+2587><U+2587><U+2587> NA

Scale: PSI

Overview

Reliability: .

Missing: 179.

Likert plot of scale PSI items

Likert plot of scale PSI items

Distribution of scale PSI

Distribution of scale PSI

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: PSI_1, PSI_2R, PSI_3, PSI_4, PSI_5, PSI_6, PSI_7, PSI_8, PSI_9R, PSI_10R, PSI_11 & PSI_12
Observations: 245
Positive correlations: 55
Number of correlations: 66
Percentage positive correlations: 83
Estimates assuming interval level
Omega (total): 0.86
Omega (hierarchical): 0.81
Revelle’s Omega (total): 0.86
Greatest Lower Bound (GLB): 0.88
Coefficient H: 0.87
Coefficient Alpha: 0.80

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.374, 1.5, 1.214, 0.827, 0.782, 0.7, 0.534, 0.491, 0.441, 0.421, 0.37 & 0.347

Factor analysis (reproducing only shared variance)
ML1 ML2 ML3
PSI_1 0.679 0.035 0.103
PSI_2R 0.113 -0.132 0.380
PSI_3 0.652 -0.096 -0.310
PSI_4 0.651 -0.014 0.135
PSI_5 0.693 0.037 0.017
PSI_6 0.583 0.140 -0.201
PSI_7 0.676 0.100 0.099
PSI_8 0.524 0.281 0.074
PSI_9R 0.370 -0.059 0.491
PSI_10R -0.202 0.059 0.459
PSI_11 0.001 0.755 -0.012
PSI_12 0.039 0.806 -0.009
Component analysis (reproducing full covariance matrix)
TC1 TC3 TC2
PSI_1 0.730 0.051 0.087
PSI_2R 0.179 -0.253 0.630
PSI_3 0.710 -0.121 -0.312
PSI_4 0.707 -0.007 0.167
PSI_5 0.742 0.055 0.017
PSI_6 0.638 0.159 -0.196
PSI_7 0.697 0.159 0.109
PSI_8 0.553 0.362 0.050
PSI_9R 0.399 -0.039 0.614
PSI_10R -0.280 0.142 0.727
PSI_11 0.008 0.879 -0.014
PSI_12 0.099 0.836 -0.005
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
PSI_1 2.3633 3 1.4863 1.2192 2 0.0779 0 1 4 4 -0.3694 -0.8414 0.1102 245 0 245
PSI_2R 2.1837 2 1.6178 1.2719 2 0.0813 0 1 3 4 -0.0964 -1.0951 0.1184 245 0 245
PSI_3 1.6041 1 1.8467 1.3589 3 0.0868 0 0 3 4 0.2822 -1.2259 0.1143 245 0 245
PSI_4 2.5388 3 1.4134 1.1889 1 0.076 0 1 4 4 -0.6535 -0.423 0.1082 245 0 245
PSI_5 2.4327 3 1.853 1.3613 3 0.087 0 1 4 4 -0.5155 -0.9696 0.1306 245 0 245
PSI_6 1.8245 2 1.7191 1.3111 2 0.0838 0 1 3 4 0.0865 -1.1293 0.1102 245 0 245
PSI_7 2.6939 3 1.5248 1.2348 2 0.0789 0 1 4 4 -0.8346 -0.2296 0.149 245 0 245
PSI_8 1.9143 2 1.7672 1.3294 2 0.0849 0 0 3 4 -0.0844 -1.163 0.1245 245 0 245
PSI_9R 2.5061 3 1.4559 1.2066 1 0.0771 0 1.5 4 4 -0.4308 -0.7807 0.1224 245 0 245
PSI_10R 2.249 2 1.2697 1.1268 2 0.072 0 1 3 4 -0.1392 -0.7111 0.1347 245 0 245
PSI_11 1.9592 2 1.9573 1.3991 2 0.0894 0 0 3 4 -0.1169 -1.3087 0.1163 245 0 245
PSI_12 1.9306 2 1.5648 1.2509 2 0.0799 0 1 3 4 -0.1086 -1.0445 0.1286 245 0 245
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
PSI_1 PSI - I carefully followed the behavior of the non-player characters in the game. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
176 0.5849057 0 3 4 2.362903 1.212851 5 <U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2585> F40.0 0
PSI_2R PSI - I hardly thought about why the non-player characters in the game did certain things they did. haven_labelled 4. 0 Not at all,
3. 1,
2. 2,
1. 3,
0. 4 Very much
178 0.5801887 0 2 4 2.191057 1.274587 5 <U+2583><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_3 PSI - I kept wondering if I knew persons that are similar to the non-player characters in the game. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
178 0.5801887 0 1 4 1.601626 1.356706 5 <U+2587><U+2586><U+2581><U+2585><U+2581><U+2586><U+2581><U+2583> F40.0 0
PSI_4 PSI - I became aware of aspects of the non-player characters in the game that I really liked or disliked. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
178 0.5801887 0 3 4 2.544715 1.190109 5 <U+2582><U+2582><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585> F40.0 0
PSI_5 PSI - I kept asking myself how things would evolve around the non-player characters in the game. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
178 0.5801887 0 3 4 2.434959 1.358960 5 <U+2583><U+2583><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_6 PSI - Occasionally, I wondered if the non-player characters in the game were similar to me or not. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
177 0.5825472 0 2 4 1.825911 1.308997 5 <U+2587><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583> F40.0 0
PSI_7 PSI - Sometimes I really loved the non-player characters in the game for what they did. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
177 0.5825472 0 3 4 2.696356 1.233388 5 <U+2582><U+2582><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_8 PSI - If the non-player characters in the game felt bad, I felt bad as well; if the non-player characters in the game felt good, I felt good as well. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
177 0.5825472 0 2 4 1.902834 1.330792 5 <U+2587><U+2585><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583> F40.0 0
PSI_9R PSI - The non-player characters in the game left me rather sober and unaffected. haven_labelled 4. 0 Not at all,
3. 1,
2. 2,
1. 3,
0. 4 Very much
177 0.5825472 0 3 4 2.502024 1.202553 5 <U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_10R PSI - Whatever the non-player characters in the game said or did—I kept still. haven_labelled 4. 0 Not at all,
3. 1,
2. 2,
1. 3,
0. 4 Very much
177 0.5825472 0 2 4 2.255061 1.127864 5 <U+2582><U+2585><U+2581><U+2587><U+2581><U+2586><U+2581><U+2583> F40.0 0
PSI_11 PSI - Occasionally, I said something to the non-player characters in the game on impulse. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
177 0.5825472 0 2 4 1.951417 1.396012 5 <U+2586><U+2585><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585> F40.0 0
PSI_12 PSI - Sometimes I felt like speaking out on the non-player characters in the game. haven_labelled 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
178 0.5801887 0 2 4 1.939024 1.255332 5 <U+2585><U+2586><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583> F40.0 0

Scale: Narrative_Engagement

Overview

Reliability: .

Missing: 6.

Likert plot of scale Narrative_Engagement items

Likert plot of scale Narrative_Engagement items

Distribution of scale Narrative_Engagement

Distribution of scale Narrative_Engagement

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: Narrative_Engagement_1R, Narrative_Engagement_2R, Narrative_Engagement_3R, Narrative_Engagement_4R, Narrative_Engagement_5R, Narrative_Engagement_6, Narrative_Engagement_7, Narrative_Engagement_8 & Narrative_Engagement_9
Observations: 418
Positive correlations: 22
Number of correlations: 36
Percentage positive correlations: 61
Estimates assuming interval level
Omega (total): 0.83
Omega (hierarchical): 0.44
Revelle’s Omega (total): 0.83
Greatest Lower Bound (GLB): 0.83
Coefficient H: 0.81
Coefficient Alpha: 0.60

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.796, 2.332, 0.932, 0.709, 0.6, 0.501, 0.424, 0.419 & 0.287

Factor analysis (reproducing only shared variance)
ML1 ML2
Narrative_Engagement_1R 0.428 -0.331
Narrative_Engagement_2R 0.416 -0.359
Narrative_Engagement_3R 0.671 -0.101
Narrative_Engagement_4R 0.830 0.127
Narrative_Engagement_5R 0.734 0.022
Narrative_Engagement_6 0.089 0.655
Narrative_Engagement_7 -0.065 0.622
Narrative_Engagement_8 0.020 0.775
Narrative_Engagement_9 0.070 0.585
Component analysis (reproducing full covariance matrix)
TC1 TC2
Narrative_Engagement_1R 0.589 -0.354
Narrative_Engagement_2R 0.580 -0.388
Narrative_Engagement_3R 0.741 -0.050
Narrative_Engagement_4R 0.821 0.199
Narrative_Engagement_5R 0.799 0.103
Narrative_Engagement_6 0.102 0.755
Narrative_Engagement_7 -0.084 0.710
Narrative_Engagement_8 0.010 0.815
Narrative_Engagement_9 0.086 0.694
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
Narrative_Engagement_1R 0.7871 1 3.1752 1.7819 3 0.0872 -3 -1 3 3 -0.2867 -1.1712 0.1041 418 0 418
Narrative_Engagement_2R 1.2201 2 2.8483 1.6877 3 0.0825 -3 0 3 3 -0.653 -0.6093 0.1124 418 0 418
Narrative_Engagement_3R 0.2847 0 3.312 1.8199 3 0.089 -3 -1 2 3 -0.0033 -1.1867 0.0921 418 0 418
Narrative_Engagement_4R 0.4761 1 3.1421 1.7726 3 0.0867 -3 -1 2 3 -0.1849 -1.1185 0.0945 418 0 418
Narrative_Engagement_5R 1.4163 2 2.3059 1.5185 2 0.0743 -3 0 3 3 -0.8925 0.0297 0.1435 418 0 418
Narrative_Engagement_6 0.988 1 3.1341 1.7704 2 0.0866 -3 -1 2 3 -0.8469 -0.2724 0.1112 418 0 418
Narrative_Engagement_7 0.1435 0 3.2887 1.8135 3 0.0887 -3 -2 2 3 -0.2052 -0.9618 0.0861 418 0 418
Narrative_Engagement_8 -0.1124 0 3.7403 1.934 3 0.0946 -3 -2 2 3 -0.072 -1.247 0.0825 418 0 418
Narrative_Engagement_9 0.2751 1 3.7155 1.9276 3 0.0943 -3 -2 2 3 -0.3521 -1.0256 0.0754 418 0 418
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Narrative_Engagement_1R NE - At points, I had a hard time making sense of what was going on in the game. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
3 0.9929245 -3 1 3 0.7719715 1.784930 7 <U+2581><U+2583><U+2587><U+2583><U+2581><U+2586><U+2587><U+2587> F40.0 0
Narrative_Engagement_2R NE - I had a hard time recognizing the thread of the story in the game. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
4 0.9905660 -3 2 3 1.2119048 1.691013 7 <U+2581><U+2581><U+2583><U+2583><U+2581><U+2583><U+2586><U+2587> F40.0 0
Narrative_Engagement_3R NE - I found my mind wandering while I played the game. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
6 0.9858491 -3 0 3 0.2846890 1.819902 7 <U+2582><U+2585><U+2587><U+2583><U+2581><U+2585><U+2586><U+2585> F40.0 0
Narrative_Engagement_4R NE - While I was playing the game, I found myself thinking about other things. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
5 0.9882075 -3 1 3 0.4749403 1.770631 7 <U+2582><U+2585><U+2587><U+2585><U+2581><U+2587><U+2587><U+2586> F40.0 0
Narrative_Engagement_5R NE - I had a hard time keeping my mind on the game while I played. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
6 0.9858491 -3 2 3 1.4162679 1.518526 7 <U+2581><U+2581><U+2582><U+2583><U+2581><U+2585><U+2587><U+2587> F40.0 0
Narrative_Engagement_6 NE - While playing, my body was in the room, but my mind was inside the world created by the game. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
5 0.9882075 -3 1 3 0.9856802 1.768893 7 <U+2582><U+2582><U+2582><U+2582><U+2581><U+2586><U+2587><U+2586> F40.0 0
Narrative_Engagement_7 NE - The game created a new world, and then that world suddenly disappeared when I stopped playing the game. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
5 0.9882075 -3 0 3 0.1408115 1.812168 7 <U+2585><U+2583><U+2585><U+2586><U+2581><U+2587><U+2586><U+2583> F40.0 0
Narrative_Engagement_8 NE - At times during the gameplay, the world of the video game was closer to me than the real world. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
5 0.9882075 -3 0 3 -0.1097852 1.932441 7 <U+2586><U+2586><U+2586><U+2585><U+2581><U+2587><U+2586><U+2583> F40.0 0
Narrative_Engagement_9 NE - The gameplay affected me emotionally. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
5 0.9882075 -3 1 3 0.2744630 1.925302 7 <U+2583><U+2583><U+2582><U+2583><U+2581><U+2587><U+2585><U+2583> F40.0 0

Scale: OTF_Social_World

Overview

Reliability: .

Missing: 4.

Likert plot of scale OTF_Social_World items

Likert plot of scale OTF_Social_World items

Distribution of scale OTF_Social_World

Distribution of scale OTF_Social_World

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3 & OTF_Social_World_4
Observations: 420
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.89
Omega (hierarchical): 0.88
Revelle’s Omega (total): 0.89
Greatest Lower Bound (GLB): 0.89
Coefficient H: 0.90
Coefficient Alpha: 0.88

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.953, 0.509, 0.299 & 0.239

Factor analysis (reproducing only shared variance)
ML1
OTF_Social_World_1 0.875
OTF_Social_World_2 0.664
OTF_Social_World_3 0.869
OTF_Social_World_4 0.818
Component analysis (reproducing full covariance matrix)
PC1
OTF_Social_World_1 0.895
OTF_Social_World_2 0.772
OTF_Social_World_3 0.895
OTF_Social_World_4 0.868
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
OTF_Social_World_1 0.2071 1 4.4797 2.1165 4 0.1033 -3 -2 2 3 -0.3347 -1.2858 0.1 420 0 420
OTF_Social_World_2 -0.419 0 3.7285 1.9309 3 0.0942 -3 -2 1 3 0.0463 -1.2505 0.1071 420 0 420
OTF_Social_World_3 0.0333 1 4.734 2.1758 4 0.1062 -3 -2 2 3 -0.2064 -1.4438 0.1155 420 0 420
OTF_Social_World_4 -0.2214 0 4.1871 2.0462 4 0.0998 -3 -3 2 3 -0.0613 -1.3833 0.1131 420 0 420
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
OTF_Social_World_1 OTF Social World - The video game presented stories that I immersed myself in haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
3 0.9929245 -3 1 3 0.2137767 2.118378 7 <U+2587><U+2583><U+2583><U+2585><U+2581><U+2587><U+2587><U+2586> F40.0 0
OTF_Social_World_2 OTF Social World - The video game presented another social world where I felt like I belonged haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
4 0.9905660 -3 0 3 -0.4190476 1.930936 7 <U+2587><U+2585><U+2585><U+2585><U+2581><U+2587><U+2585><U+2582> F40.0 0
OTF_Social_World_3 OTF Social World - The video game had a social narrative that told an engaging story haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
4 0.9905660 -3 1 3 0.0333333 2.175769 7 <U+2587><U+2583><U+2582><U+2583><U+2581><U+2586><U+2587><U+2585> F40.0 0
OTF_Social_World_4 OTF Social World - I found myself getting “lost” in the game’s story haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
4 0.9905660 -3 0 3 -0.2214286 2.046248 7 <U+2587><U+2585><U+2583><U+2583><U+2581><U+2587><U+2586><U+2583> F40.0 0

Scale: Enjoyment

Overview

Reliability: .

Missing: 3.

Likert plot of scale Enjoyment items

Likert plot of scale Enjoyment items

Distribution of scale Enjoyment

Distribution of scale Enjoyment

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: Enjoyment_1, Enjoyment_2, Enjoyment_3R, Enjoyment_4 & Enjoyment_5
Observations: 421
Positive correlations: 10
Number of correlations: 10
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.88
Omega (hierarchical): 0.77
Revelle’s Omega (total): 0.88
Greatest Lower Bound (GLB): 0.89
Coefficient H: 0.89
Coefficient Alpha: 0.82

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.141, 0.708, 0.536, 0.35 & 0.266

Factor analysis (reproducing only shared variance)
ML1
Enjoyment_1 0.713
Enjoyment_2 0.894
Enjoyment_3R 0.646
Enjoyment_4 0.778
Enjoyment_5 0.626
Component analysis (reproducing full covariance matrix)
PC1
Enjoyment_1 0.765
Enjoyment_2 0.888
Enjoyment_3R 0.736
Enjoyment_4 0.843
Enjoyment_5 0.718
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
Enjoyment_1 2.5653 3 0.5701 0.7551 1 0.0368 -2 2 NA 3 -2.3572 7.968 0.1176 421 0 421
Enjoyment_2 2.5962 3 0.527 0.726 1 0.0354 -2 2 NA 3 -2.5144 9.1928 0.1188 421 0 421
Enjoyment_3R 1.8765 2 1.5466 1.2436 2 0.0606 -3 1 3 3 -1.2195 1.2959 0.1473 421 0 421
Enjoyment_4 2.2945 3 1.1226 1.0595 1 0.0516 -3 2 NA 3 -1.8532 4.041 0.114 421 0 421
Enjoyment_5 2.152 3 1.5149 1.2308 1 0.06 -3 2 NA 3 -2.0626 4.9082 0.1295 421 0 421
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Enjoyment_1 Enjoyment - I think the game is fun. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
3 0.9929245 -2 3 3 2.565321 0.7550681 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587> F40.0 0
Enjoyment_2 Enjoyment - I enjoy playing the game. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
3 0.9929245 -2 3 3 2.596199 0.7259705 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587> F40.0 0
Enjoyment_3R Enjoyment - I feel bored while playing the game. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
3 0.9929245 -3 2 3 1.876485 1.2436287 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2586><U+2587> F40.0 0
Enjoyment_4 Enjoyment - I am likely to recommend this game to others. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
3 0.9929245 -3 3 3 2.294537 1.0595118 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587> F40.0 0
Enjoyment_5 Enjoyment - If given the chance, I want to play this game again. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
3 0.9929245 -3 3 3 2.152019 1.2308251 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587> F40.0 0

essay_condition_title

Distribution

Distribution of values for essay_condition_title

Distribution of values for essay_condition_title

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
essay_condition_title character 0 1 2 0 16 20 0 NA

Gender_Identity_3GP

Distribution

Distribution of values for Gender_Identity_3GP

Distribution of values for Gender_Identity_3GP

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Gender_Identity_3GP character 0 1 3 0 4 6 0 NA

Race_8GP

Distribution

Distribution of values for Race_8GP

Distribution of values for Race_8GP

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Race_8GP character 0 1 5 0 5 49 0 NA

parasocial_MC_group

Distribution

Distribution of values for parasocial_MC_group

Distribution of values for parasocial_MC_group

2 missing values.

Summary statistics

name data_type ordered value_labels n_missing complete_rate n_unique top_counts label
parasocial_MC_group factor TRUE 1. No Interaction with NPC,
2. No Parasocial Relationship with NPC,
3. Formed Parasocial Relationship with NPC
2 0.995283 3 For: 226, No : 174, No : 22 NA

attention_VG_correct

Distribution

Distribution of values for attention_VG_correct

Distribution of values for attention_VG_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_VG_correct logical 0 1 TRU: 414, FAL: 10 0.9764151 NA

A

Distribution

Distribution of values for A

Distribution of values for A

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
A character 4 0.990566 2 0 2 3 0 NA

B

Distribution

Distribution of values for B

Distribution of values for B

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
B character 4 0.990566 3 0 2 3 0 NA

C

Distribution

Distribution of values for C

Distribution of values for C

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
C character 4 0.990566 2 0 2 3 0 NA

agreeAB

Distribution

Distribution of values for agreeAB

Distribution of values for agreeAB

4 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
agreeAB logical 4 0.990566 TRU: 344, FAL: 76 0.8190476 NA

agreeAC

Distribution

Distribution of values for agreeAC

Distribution of values for agreeAC

4 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
agreeAC logical 4 0.990566 TRU: 324, FAL: 96 0.7714286 NA

agreeBC

Distribution

Distribution of values for agreeBC

Distribution of values for agreeBC

4 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
agreeBC logical 4 0.990566 TRU: 347, FAL: 73 0.8261905 NA

agreeAB_percent

Distribution

Distribution of values for agreeAB_percent

Distribution of values for agreeAB_percent

4 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
agreeAB_percent numeric 4 0.990566 0.82 0.82 0.82 0.8194774 0 <U+2581><U+2581><U+2587><U+2581><U+2581> NA

agreeAC_percent

Distribution

Distribution of values for agreeAC_percent

Distribution of values for agreeAC_percent

4 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
agreeAC_percent numeric 4 0.990566 0.77 0.77 0.77 0.7719715 0 <U+2581><U+2581><U+2587><U+2581><U+2581> NA

agreeBC_percent

Distribution

Distribution of values for agreeBC_percent

Distribution of values for agreeBC_percent

4 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
agreeBC_percent numeric 4 0.990566 0.83 0.83 0.83 0.8266033 0 <U+2581><U+2581><U+2587><U+2581><U+2581> NA

agree_overall_percent

Distribution

Distribution of values for agree_overall_percent

Distribution of values for agree_overall_percent

4 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
agree_overall_percent numeric 4 0.990566 0.81 0.81 0.81 0.8060174 0 <U+2581><U+2581><U+2587><U+2581><U+2581> NA

initial_codes

Distribution

Distribution of values for initial_codes

Distribution of values for initial_codes

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
initial_codes character 4 0.990566 2 0 2 3 0 NA

highest_pair

Distribution

Distribution of values for highest_pair

Distribution of values for highest_pair

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
highest_pair character 4 0.990566 1 0 2 2 0 NA

third_rater

Distribution

Distribution of values for third_rater

Distribution of values for third_rater

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
third_rater character 4 0.990566 1 0 1 1 0 NA

followed_VGinstructions

Distribution

Distribution of values for followed_VGinstructions

Distribution of values for followed_VGinstructions

4 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
followed_VGinstructions character 4 0.990566 2 0 2 3 0 NA

Missingness report

Codebook table

name label data_type ordered value_labels scale_item_names n_missing complete_rate n_unique empty top_counts count min median max mean sd whitespace n_value_labels hist format.spss display_width
StartDate Start Date POSIXct NA NA NA 0 1.0000000 419 NA NA NA 2021-03-16 11:13:53 2021-03-17 13:10:41 2021-04-14 05:00:08 NA NA NA NA NA DATETIME20 0
EndDate End Date POSIXct NA NA NA 0 1.0000000 423 NA NA NA 2021-03-16 11:27:03 2021-03-17 13:31:25 2021-04-14 05:24:11 NA NA NA NA NA DATETIME20 0
Status Response Type haven_labelled NA 0. IP Address,
1. Survey Preview,
2. Survey Test,
4. Imported,
8. Spam,
9. Survey Preview Spam,
12. Imported Spam,
16. Offline,
17. Offline Survey Preview,
32. EX,
40. EX Spam,
48. EX Offline
NA 0 1.0000000 NA NA NA NA 0 0 0 0.0000000 0.0000000 NA 12 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581> F40.0 0
Progress Progress numeric NA NA NA 0 1.0000000 NA NA NA NA 38.00 100.00 100.00 99.6462264 4.4325611 NA NA <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0
Duration_in_seconds Duration (in seconds) numeric NA NA NA 0 1.0000000 NA NA NA NA 115.00 1191.50 3903.00 1331.9339623 522.3679811 NA NA <U+2582><U+2587><U+2582><U+2581><U+2581> F40.2 0
Finished Finished haven_labelled NA 0. False,
1. True
NA 0 1.0000000 NA NA NA NA 0 1 1 0.9929245 0.0839167 NA 2 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587> F40.0 0
RecordedDate Recorded Date POSIXct NA NA NA 0 1.0000000 421 NA NA NA 2021-03-16 11:27:04 2021-03-17 13:31:25 2021-04-14 05:24:11 NA NA NA NA NA DATETIME20 0
ResponseId Response ID character NA NA NA 0 1.0000000 424 0 NA NA 17 NA 17 NA NA 0 NA NA A50 0
DistributionChannel Distribution Channel character NA NA NA 0 1.0000000 1 0 NA NA 9 NA 9 NA NA 0 NA NA A255 0
UserLanguage User Language character NA NA NA 0 1.0000000 1 0 NA NA 2 NA 2 NA NA 0 NA NA A255 0
Q_RecaptchaScore Q_RecaptchaScore numeric NA NA NA 4 0.9905660 NA NA NA NA 0.30 1.00 1.00 0.9626190 0.0794239 NA NA <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0
Age Age numeric NA NA NA 0 1.0000000 NA NA NA NA 18.00 22.00 59.00 24.6981132 7.0943254 NA NA <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0
Race NA character NA NA NA 0 1.0000000 6 362 NA NA 0 NA 57 NA NA 0 NA NA NA NA
Race_1 Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native factor FALSE 1. American Indian, Indigenous Canadian, or Alaska Native NA 424 0.0000000 0 NA Ame: 0 NA NA NA NA NA NA NA NA NA NA NA
Race_4 Race - Selected Choice Asian factor FALSE 1. Asian NA 413 0.0259434 1 NA Asi: 11 NA NA NA NA NA NA NA NA NA NA NA
Race_2 Race - Selected Choice Black factor FALSE 1. Black NA 418 0.0141509 1 NA Bla: 6 NA NA NA NA NA NA NA NA NA NA NA
Race_7 Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican factor FALSE 1. Latino/Latina, Hispanic, Chicano, or Puerto Rican NA 383 0.0966981 1 NA Lat: 41 NA NA NA NA NA NA NA NA NA NA NA
Race_8 Race - Selected Choice Middle Eastern or North African factor FALSE 1. Middle Eastern or North African NA 419 0.0117925 1 NA Mid: 5 NA NA NA NA NA NA NA NA NA NA NA
Race_5 Race - Selected Choice Native Hawaiian or Pacific Islander factor FALSE 1. Native Hawaiian or Pacific Islander NA 424 0.0000000 0 NA Nat: 0 NA NA NA NA NA NA NA NA NA NA NA
Race_3 Race - Selected Choice White factor FALSE 1. White NA 59 0.8608491 1 NA Whi: 365 NA NA NA NA NA NA NA NA NA NA NA
Race_6 Race - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe NA 413 0.0259434 1 NA Pre: 11 NA NA NA NA NA NA NA NA NA NA NA
Race_6_TEXT Race - Prefer to self-describe - Text factor FALSE 1. ,
2. African European,
3. Caucasian,
4. Coloured,
5. European,
6. Italian,
7. Mediterranean,
8. Mediterranian,
9. Mexican,
10. Mixed white/black,
11. No classification,
12. Portuguese
NA 0 1.0000000 12 NA emp: 413, Afr: 1, Cau: 1, Col: 1 NA NA NA NA NA NA NA NA NA NA NA
Relationship Relationship Status - Selected Choice haven_labelled NA 1. Single—not interested in dating,
2. Single—interested in dating,
3. Dating Casually,
4. Dating Exclusively,
5. Engaged,
6. Married,
7. Other (specify):
NA 0 1.0000000 NA NA NA NA 1 4 7 3.2382075 1.6452101 NA 7 <U+2583><U+2587><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581> F40.0 0
Relationship_7_TEXT Relationship Status - Other (specify): - Text character NA NA NA 0 1.0000000 11 413 NA NA 0 NA 42 NA NA 0 NA NA A255 0
Gender_Identity NA character NA NA NA 0 1.0000000 8 0 NA NA 4 NA 59 NA NA 0 NA NA NA NA
Gender_1 Gender - Selected Choice Male factor FALSE 1. Male NA 137 0.6768868 1 NA Mal: 287 NA NA NA NA NA NA NA NA NA NA NA
Gender_2 Gender - Selected Choice Female factor FALSE 1. Female NA 289 0.3183962 1 NA Fem: 135 NA NA NA NA NA NA NA NA NA NA NA
Gender_8 Gender - Selected Choice Nonbinary factor FALSE 1. Nonbinary NA 421 0.0070755 1 NA Non: 3 NA NA NA NA NA NA NA NA NA NA NA
Gender_6 Gender - Selected Choice Unsure factor FALSE 1. Unsure NA 422 0.0047170 1 NA Uns: 2 NA NA NA NA NA NA NA NA NA NA NA
Gender_7 Gender - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe NA 422 0.0047170 1 NA Pre: 2 NA NA NA NA NA NA NA NA NA NA NA
Gender_7_TEXT Gender - Prefer to self-describe - Text factor FALSE 1. ,
2. Genderfluid,
3. there are only two genders
NA 0 1.0000000 3 NA emp: 422, Gen: 1, the: 1 NA NA NA NA NA NA NA NA NA NA NA
Sexori Sexual Orientation - Selected Choice haven_labelled NA 1. Heterosexual,
2. Gay/lesbian,
3. Bisexual,
7. Asexual,
8. Pansexual,
5. Unsure,
6. Prefer to self-describe
NA 0 1.0000000 NA NA NA NA 1 1 8 1.5613208 1.4377597 NA 7 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0
Sexori_6_TEXT Sexual Orientation - Prefer to self-describe - Text character NA NA NA 0 1.0000000 4 421 NA NA 0 NA 21 NA NA 0 NA NA A255 0
T1_Heart_1 T1 Heart numeric NA NA NA 0 1.0000000 NA NA NA NA 1.00 7.00 9.00 6.2806604 1.9591583 NA NA <U+2581><U+2585><U+2582><U+2587><U+2587> F40.2 0
T1_Valence_1 T1 Valence numeric NA NA NA 0 1.0000000 NA NA NA NA 1.00 6.00 9.00 5.9433962 1.9171008 NA NA <U+2581><U+2583><U+2582><U+2587><U+2585> F40.2 0
T1_Arousal_1 T1 Arousal numeric NA NA NA 0 1.0000000 NA NA NA NA 1.00 4.00 9.00 4.1839623 1.7049857 NA NA <U+2582><U+2587><U+2582><U+2583><U+2581> F40.2 0
T1_Dominance_1 T1 Dominance numeric NA NA NA 0 1.0000000 NA NA NA NA 1.00 6.00 9.00 5.8773585 1.7049661 NA NA <U+2581><U+2583><U+2582><U+2587><U+2583> F40.2 0
timer_inst_First_Click Timing - First Click numeric NA NA NA 0 1.0000000 NA NA NA NA 0.00 0.00 105.01 2.5123066 10.5701345 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
timer_inst_Last_Click Timing - Last Click numeric NA NA NA 0 1.0000000 NA NA NA NA 0.00 0.00 105.59 3.0300118 10.9578125 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
timer_inst_Page_Submit Timing - Page Submit numeric NA NA NA 0 1.0000000 NA NA NA NA 1.05 8.75 379.19 15.5112642 31.0596882 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
timer_inst_Click_Count Timing - Click Count numeric NA NA NA 0 1.0000000 NA NA NA NA 0.00 0.00 13.00 0.5613208 1.5239659 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
surrogate_vg Social surrogate game character NA NA NA 0 1.0000000 217 0 NA NA 3 NA 66 NA NA 0 NA NA A255 0
nonsurrogate_vg Non-social surrogate game character NA NA NA 0 1.0000000 220 0 NA NA 3 NA 154 NA NA 0 NA NA A255 0
Rejection_Essay Write about a time you felt rejected by a close other character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 2000 NA NA 0 NA NA A255 0
Rejection_Timer_First_Click Timing - First Click numeric NA NA NA 2 0.9952830 NA NA NA NA 0.54 35.42 1035.77 64.4555190 107.1393426 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Rejection_Timer_Last_Click Timing - Last Click numeric NA NA NA 2 0.9952830 NA NA NA NA 18.30 202.87 1260.13 212.9369242 169.2123541 NA NA <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0
Rejection_Timer_Page_Submit Timing - Page Submit numeric NA NA NA 2 0.9952830 NA NA NA NA 188.32 256.95 1436.84 306.4743531 150.4319417 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Rejection_Timer_Click_Count Timing - Click Count numeric NA NA NA 2 0.9952830 NA NA NA NA 2.00 6.00 54.00 9.0023697 8.7527393 NA NA <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0
NonSurrogacy_Essay Write about the Non-Social Surrogacy Game character NA NA NA 0 1.0000000 206 219 NA NA 0 NA 1005 NA NA 0 NA NA A255 0
Surrogacy_Essay Write about the Social Surrogacy Game character NA NA NA 0 1.0000000 218 207 NA NA 0 NA 1870 NA NA 0 NA NA A255 0
VG_Essay_Timer_First_Click Timing - First Click numeric NA NA NA 2 0.9952830 NA NA NA NA 0.17 19.42 541.32 37.5858863 60.0325631 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
VG_Essay_Timer_Last_Click Timing - Last Click numeric NA NA NA 2 0.9952830 NA NA NA NA 5.55 182.10 922.12 176.8448412 149.5886205 NA NA <U+2587><U+2586><U+2581><U+2581><U+2581> F40.2 0
VG_Essay_Timer_Page_Submit Timing - Page Submit numeric NA NA NA 2 0.9952830 NA NA NA NA 88.64 227.78 1057.38 268.7417488 116.2416391 NA NA <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0
VG_Essay_Timer_Click_Count Timing - Click Count numeric NA NA NA 2 0.9952830 NA NA NA NA 2.00 5.00 54.00 7.7156398 7.4604065 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
T2_Heart_1 T2 Heart numeric NA NA NA 2 0.9952830 NA NA NA NA 1.00 7.00 9.00 6.3554502 1.8867474 NA NA <U+2581><U+2583><U+2582><U+2587><U+2586> F40.2 0
T2_Valence_1 T2 Valence numeric NA NA NA 2 0.9952830 NA NA NA NA 1.00 6.00 9.00 6.2322275 1.8034288 NA NA <U+2581><U+2583><U+2582><U+2587><U+2585> F40.2 0
T2_Arousal_1 T2 Arousal numeric NA NA NA 3 0.9929245 NA NA NA NA 1.00 5.00 9.00 4.8741093 1.9063352 NA NA <U+2582><U+2587><U+2583><U+2586><U+2582> F40.2 0
T2_Dominance_1 T2 Dominance numeric NA NA NA 2 0.9952830 NA NA NA NA 1.00 6.00 9.00 6.1303318 1.6540684 NA NA <U+2581><U+2582><U+2582><U+2587><U+2583> F40.2 0
Interact_with_NPC Did you interact with an NPC? haven_labelled NA 1. Yes,
2. No
NA 2 0.9952830 NA NA NA NA 1 1 2 1.4123223 0.4928369 NA 2 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586> F40.0 0
IOS IOS with an NPC haven_labelled NA 0. 0,
1. 1,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6
NA 176 0.5849057 NA NA NA NA 0 3 6 2.9919355 1.7401939 NA 7 <U+2583><U+2586><U+2587><U+2587><U+2581><U+2587><U+2586><U+2583> F40.0 0
PSI_1 PSI - I carefully followed the behavior of the non-player characters in the game. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 176 0.5849057 NA NA NA NA 0 3 4 2.3629032 1.2128507 NA 5 <U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2585> F40.0 0
PSI_2R PSI - I hardly thought about why the non-player characters in the game did certain things they did. haven_labelled NA 4. 0 Not at all,
3. 1,
2. 2,
1. 3,
0. 4 Very much
NA 178 0.5801887 NA NA NA NA 0 2 4 2.1910569 1.2745873 NA 5 <U+2583><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_3 PSI - I kept wondering if I knew persons that are similar to the non-player characters in the game. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 178 0.5801887 NA NA NA NA 0 1 4 1.6016260 1.3567057 NA 5 <U+2587><U+2586><U+2581><U+2585><U+2581><U+2586><U+2581><U+2583> F40.0 0
PSI_4 PSI - I became aware of aspects of the non-player characters in the game that I really liked or disliked. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 178 0.5801887 NA NA NA NA 0 3 4 2.5447154 1.1901091 NA 5 <U+2582><U+2582><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585> F40.0 0
PSI_5 PSI - I kept asking myself how things would evolve around the non-player characters in the game. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 178 0.5801887 NA NA NA NA 0 3 4 2.4349593 1.3589602 NA 5 <U+2583><U+2583><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_6 PSI - Occasionally, I wondered if the non-player characters in the game were similar to me or not. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 177 0.5825472 NA NA NA NA 0 2 4 1.8259109 1.3089967 NA 5 <U+2587><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583> F40.0 0
PSI_7 PSI - Sometimes I really loved the non-player characters in the game for what they did. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 177 0.5825472 NA NA NA NA 0 3 4 2.6963563 1.2333884 NA 5 <U+2582><U+2582><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_8 PSI - If the non-player characters in the game felt bad, I felt bad as well; if the non-player characters in the game felt good, I felt good as well. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 177 0.5825472 NA NA NA NA 0 2 4 1.9028340 1.3307923 NA 5 <U+2587><U+2585><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583> F40.0 0
PSI_9R PSI - The non-player characters in the game left me rather sober and unaffected. haven_labelled NA 4. 0 Not at all,
3. 1,
2. 2,
1. 3,
0. 4 Very much
NA 177 0.5825472 NA NA NA NA 0 3 4 2.5020243 1.2025532 NA 5 <U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2586> F40.0 0
PSI_10R PSI - Whatever the non-player characters in the game said or did—I kept still. haven_labelled NA 4. 0 Not at all,
3. 1,
2. 2,
1. 3,
0. 4 Very much
NA 177 0.5825472 NA NA NA NA 0 2 4 2.2550607 1.1278643 NA 5 <U+2582><U+2585><U+2581><U+2587><U+2581><U+2586><U+2581><U+2583> F40.0 0
PSI_11 PSI - Occasionally, I said something to the non-player characters in the game on impulse. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 177 0.5825472 NA NA NA NA 0 2 4 1.9514170 1.3960120 NA 5 <U+2586><U+2585><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585> F40.0 0
PSI_12 PSI - Sometimes I felt like speaking out on the non-player characters in the game. haven_labelled NA 0. 0 Not at all,
1. 1,
2. 2,
3. 3,
4. 4 Very much
NA 178 0.5801887 NA NA NA NA 0 2 4 1.9390244 1.2553321 NA 5 <U+2585><U+2586><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583> F40.0 0
Single_Immersion While playing the game, I felt completely immersed. haven_labelled NA -3. Strongly disagree -3,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. Strongly agree 3
NA 2 0.9952830 NA NA NA NA -3 2 3 1.8554502 1.2969748 NA 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587><U+2587> F40.0 0
Narrative_Engagement_1R NE - At points, I had a hard time making sense of what was going on in the game. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -3 1 3 0.7719715 1.7849298 NA 7 <U+2581><U+2583><U+2587><U+2583><U+2581><U+2586><U+2587><U+2587> F40.0 0
Narrative_Engagement_2R NE - I had a hard time recognizing the thread of the story in the game. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 4 0.9905660 NA NA NA NA -3 2 3 1.2119048 1.6910127 NA 7 <U+2581><U+2581><U+2583><U+2583><U+2581><U+2583><U+2586><U+2587> F40.0 0
Narrative_Engagement_3R NE - I found my mind wandering while I played the game. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 6 0.9858491 NA NA NA NA -3 0 3 0.2846890 1.8199020 NA 7 <U+2582><U+2585><U+2587><U+2583><U+2581><U+2585><U+2586><U+2585> F40.0 0
Narrative_Engagement_4R NE - While I was playing the game, I found myself thinking about other things. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 5 0.9882075 NA NA NA NA -3 1 3 0.4749403 1.7706315 NA 7 <U+2582><U+2585><U+2587><U+2585><U+2581><U+2587><U+2587><U+2586> F40.0 0
Narrative_Engagement_5R NE - I had a hard time keeping my mind on the game while I played. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 6 0.9858491 NA NA NA NA -3 2 3 1.4162679 1.5185262 NA 7 <U+2581><U+2581><U+2582><U+2583><U+2581><U+2585><U+2587><U+2587> F40.0 0
Narrative_Engagement_6 NE - While playing, my body was in the room, but my mind was inside the world created by the game. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 5 0.9882075 NA NA NA NA -3 1 3 0.9856802 1.7688926 NA 7 <U+2582><U+2582><U+2582><U+2582><U+2581><U+2586><U+2587><U+2586> F40.0 0
Narrative_Engagement_7 NE - The game created a new world, and then that world suddenly disappeared when I stopped playing the game. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 5 0.9882075 NA NA NA NA -3 0 3 0.1408115 1.8121679 NA 7 <U+2585><U+2583><U+2585><U+2586><U+2581><U+2587><U+2586><U+2583> F40.0 0
Narrative_Engagement_8 NE - At times during the gameplay, the world of the video game was closer to me than the real world. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 5 0.9882075 NA NA NA NA -3 0 3 -0.1097852 1.9324414 NA 7 <U+2586><U+2586><U+2586><U+2585><U+2581><U+2587><U+2586><U+2583> F40.0 0
Narrative_Engagement_9 NE - The gameplay affected me emotionally. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 5 0.9882075 NA NA NA NA -3 1 3 0.2744630 1.9253017 NA 7 <U+2583><U+2583><U+2582><U+2583><U+2581><U+2587><U+2585><U+2583> F40.0 0
OTF_Social_World_1 OTF Social World - The video game presented stories that I immersed myself in haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -3 1 3 0.2137767 2.1183777 NA 7 <U+2587><U+2583><U+2583><U+2585><U+2581><U+2587><U+2587><U+2586> F40.0 0
OTF_Social_World_2 OTF Social World - The video game presented another social world where I felt like I belonged haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 4 0.9905660 NA NA NA NA -3 0 3 -0.4190476 1.9309362 NA 7 <U+2587><U+2585><U+2585><U+2585><U+2581><U+2587><U+2585><U+2582> F40.0 0
OTF_Social_World_3 OTF Social World - The video game had a social narrative that told an engaging story haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 4 0.9905660 NA NA NA NA -3 1 3 0.0333333 2.1757688 NA 7 <U+2587><U+2583><U+2582><U+2583><U+2581><U+2586><U+2587><U+2585> F40.0 0
OTF_Social_World_4 OTF Social World - I found myself getting “lost” in the game’s story haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 4 0.9905660 NA NA NA NA -3 0 3 -0.2214286 2.0462476 NA 7 <U+2587><U+2585><U+2583><U+2583><U+2581><U+2587><U+2586><U+2583> F40.0 0
Enjoyment_1 Enjoyment - I think the game is fun. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -2 3 3 2.5653207 0.7550681 NA 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587> F40.0 0
Enjoyment_2 Enjoyment - I enjoy playing the game. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -2 3 3 2.5961995 0.7259705 NA 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587> F40.0 0
Enjoyment_3R Enjoyment - I feel bored while playing the game. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -3 2 3 1.8764846 1.2436287 NA 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2586><U+2587> F40.0 0
Enjoyment_4 Enjoyment - I am likely to recommend this game to others. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -3 3 3 2.2945368 1.0595118 NA 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587> F40.0 0
Enjoyment_5 Enjoyment - If given the chance, I want to play this game again. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 3 0.9929245 NA NA NA NA -3 3 3 2.1520190 1.2308251 NA 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587> F40.0 0
VG_When_Played When did you play the game? character NA NA NA 0 1.0000000 177 3 NA NA 0 NA 73 NA NA 0 NA NA A255 0
VG_Freqency How frequently and how long did you play the game? character NA NA NA 0 1.0000000 369 3 NA NA 0 NA 190 NA NA 0 NA NA A255 0
Attention_Rejection What did you write in the first essay? haven_labelled NA 1. about a time I felt rejected,
2. about a time I felt accepted,
3. about my morning yesterday
NA 3 0.9929245 NA NA NA NA 1 1 3 1.0213777 0.1746261 NA 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0
Attention_VG What did you write in the second essay? haven_labelled NA 1. ${q://QID3/ChoiceTextEntryValue},
2. ${q://QID4/ChoiceTextEntryValue},
3. unsure
NA 3 0.9929245 NA NA NA NA 1 1 3 1.4916865 0.5052602 NA 3 <U+2587><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581> F40.0 0
Study_Purpose Did you wonder about the purposes? character NA NA NA 0 1.0000000 353 37 NA NA 0 NA 385 NA NA 0 NA NA A255 0
Share_Anything Is there anything you’d like to share? character NA NA NA 0 1.0000000 243 130 NA NA 0 NA 515 NA NA 0 NA NA A255 0
STUDY_ID STUDY_ID character NA NA NA 0 1.0000000 1 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
SESSION_ID SESSION_ID character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
attention_rejection_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 414, FAL: 10 NA NA NA 0.9764151 NA NA NA NA NA NA
attention_VGessay_correct attention_VGessay_correct character NA NA NA 0 1.0000000 2 0 NA NA 4 NA 5 NA NA 0 NA NA A255 0
attention_all_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 409, FAL: 15 NA NA NA 0.9646226 NA NA NA NA NA NA
debug debug character NA NA NA 0 1.0000000 1 424 NA NA 0 NA 0 NA NA 0 NA NA A255 0
debug_condition debug_condition character NA NA NA 0 1.0000000 1 424 NA NA 0 NA 0 NA NA 0 NA NA A255 0
t_consent_submit t_consent_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_age_submit t_age_submit character NA NA NA 0 1.0000000 424 1 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_race_submit t_race_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_relationship_submit t_relationship_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_gender_submit t_gender_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_sexori_submit t_sexori_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_T1Heart_submit t_T1Heart_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_T1Valence_submit t_T1Valence_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_T1Arousal_submit t_T1Arousal_submit character NA NA NA 0 1.0000000 423 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_T1Dominance_submit t_T1Dominance_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_vgInst_submit t_vgInst_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_videoGameNomination_submit t_videoGameNomination_submit character NA NA NA 0 1.0000000 424 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_rejectionEssayIntro_submit t_rejectionEssayIntro_submit character NA NA NA 0 1.0000000 424 1 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_rejectionEssay_submit t_rejectionEssay_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_surrogacyEssayIntro_submit t_surrogacyEssayIntro_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_surrogacyEssay_submit t_surrogacyEssay_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Heart_submit t_T2Heart_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Valence_submit t_T2Valence_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Arousal_submit t_T2Arousal_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Dominance_submit t_T2Dominance_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_intractCharacters_submit t_intractCharacters_submit character NA NA NA 0 1.0000000 423 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_IOS_submit t_IOS_submit character NA NA NA 0 1.0000000 251 174 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_PSI_submit t_PSI_submit character NA NA NA 0 1.0000000 250 175 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_singleImmersion_submit t_singleImmersion_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_narrativeEngagement_submit t_narrativeEngagement_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_otfSocialWorld_submit t_otfSocialWorld_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_enjoyment_submit t_enjoyment_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_frequency_submit t_frequency_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_attentionRejection_submit t_attentionRejection_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_attentionVideoGame_submit t_attentionVideoGame_submit character NA NA NA 0 1.0000000 422 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_debriefingInfo_submit t_debriefingInfo_submit character NA NA NA 0 1.0000000 1 424 NA NA 0 NA 0 NA NA 0 NA NA A255 0
essay_condition NA character NA NA NA 0 1.0000000 2 0 NA NA 16 NA 20 NA NA 0 NA NA NA NA
target_game_name target_game_name character NA NA NA 0 1.0000000 255 0 NA NA 3 NA 154 NA NA 0 NA NA A255 0
Note Note character NA NA NA 0 1.0000000 2 423 NA NA 0 NA 100 NA NA 0 NA NA A255 0
PID NA numeric NA NA NA 0 1.0000000 NA NA NA NA 1.00 212.50 424.00 212.5000000 122.5425096 NA NA <U+2587><U+2587><U+2587><U+2587><U+2587> NA NA
PSI 12 PSI items aggregated by rowMeans numeric NA NA PSI_1, PSI_2R, PSI_3, PSI_4, PSI_5, PSI_6, PSI_7, PSI_8, PSI_9R, PSI_10R, PSI_11, PSI_12 179 0.5778302 NA NA NA NA 0.17 2.33 3.50 2.1833333 0.7155729 NA NA <U+2581><U+2583><U+2586><U+2587><U+2583> NA NA
Narrative_Engagement 9 Narrative_Engagement items aggregated by rowMeans numeric NA NA Narrative_Engagement_1R, Narrative_Engagement_2R, Narrative_Engagement_3R, Narrative_Engagement_4R, Narrative_Engagement_5R, Narrative_Engagement_6, Narrative_Engagement_7, Narrative_Engagement_8, Narrative_Engagement_9 6 0.9858491 NA NA NA NA -1.78 0.61 3.00 0.6087188 0.8739808 NA NA <U+2581><U+2586><U+2587><U+2586><U+2581> NA NA
OTF_Social_World 4 OTF_Social_World items aggregated by rowMeans numeric NA NA OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3, OTF_Social_World_4 4 0.9905660 NA NA NA NA -3.00 0.25 3.00 -0.1000000 1.7776456 NA NA <U+2586><U+2583><U+2586><U+2587><U+2583> NA NA
Enjoyment 5 Enjoyment items aggregated by rowMeans numeric NA NA Enjoyment_1, Enjoyment_2, Enjoyment_3R, Enjoyment_4, Enjoyment_5 3 0.9929245 NA NA NA NA -2.40 2.60 3.00 2.2969121 0.7878331 NA NA <U+2581><U+2581><U+2581><U+2582><U+2587> NA NA
essay_condition_title NA character NA NA NA 0 1.0000000 2 0 NA NA 16 NA 20 NA NA 0 NA NA NA NA
Gender_Identity_3GP NA character NA NA NA 0 1.0000000 3 0 NA NA 4 NA 6 NA NA 0 NA NA NA NA
Race_8GP NA character NA NA NA 0 1.0000000 5 0 NA NA 5 NA 49 NA NA 0 NA NA NA NA
parasocial_MC_group NA factor TRUE 1. No Interaction with NPC,
2. No Parasocial Relationship with NPC,
3. Formed Parasocial Relationship with NPC
NA 2 0.9952830 3 NA For: 226, No : 174, No : 22 NA NA NA NA NA NA NA NA NA NA NA
attention_VG_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 414, FAL: 10 NA NA NA 0.9764151 NA NA NA NA NA NA
A NA character NA NA NA 4 0.9905660 2 0 NA NA 2 NA 3 NA NA 0 NA NA NA NA
B NA character NA NA NA 4 0.9905660 3 0 NA NA 2 NA 3 NA NA 0 NA NA NA NA
C NA character NA NA NA 4 0.9905660 2 0 NA NA 2 NA 3 NA NA 0 NA NA NA NA
agreeAB NA logical NA NA NA 4 0.9905660 NA NA NA TRU: 344, FAL: 76 NA NA NA 0.8190476 NA NA NA NA NA NA
agreeAC NA logical NA NA NA 4 0.9905660 NA NA NA TRU: 324, FAL: 96 NA NA NA 0.7714286 NA NA NA NA NA NA
agreeBC NA logical NA NA NA 4 0.9905660 NA NA NA TRU: 347, FAL: 73 NA NA NA 0.8261905 NA NA NA NA NA NA
agreeAB_percent NA numeric NA NA NA 4 0.9905660 NA NA NA NA 0.82 0.82 0.82 0.8194774 0.0000000 NA NA <U+2581><U+2581><U+2587><U+2581><U+2581> NA NA
agreeAC_percent NA numeric NA NA NA 4 0.9905660 NA NA NA NA 0.77 0.77 0.77 0.7719715 0.0000000 NA NA <U+2581><U+2581><U+2587><U+2581><U+2581> NA NA
agreeBC_percent NA numeric NA NA NA 4 0.9905660 NA NA NA NA 0.83 0.83 0.83 0.8266033 0.0000000 NA NA <U+2581><U+2581><U+2587><U+2581><U+2581> NA NA
agree_overall_percent NA numeric NA NA NA 4 0.9905660 NA NA NA NA 0.81 0.81 0.81 0.8060174 0.0000000 NA NA <U+2581><U+2581><U+2587><U+2581><U+2581> NA NA
initial_codes NA character NA NA NA 4 0.9905660 2 0 NA NA 2 NA 3 NA NA 0 NA NA NA NA
highest_pair NA character NA NA NA 4 0.9905660 1 0 NA NA 2 NA 2 NA NA 0 NA NA NA NA
third_rater NA character NA NA NA 4 0.9905660 1 0 NA NA 1 NA 1 NA NA 0 NA NA NA NA
followed_VGinstructions NA character NA NA NA 4 0.9905660 2 0 NA NA 2 NA 3 NA NA 0 NA NA NA NA
JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Nami Sunami's Dissertation - Study 2",
  "description": "\n\n### Download link\n[Open Science Framework](https://osf.io/XXXXX)\n\n### Preprocessing\nAll rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.\n\nVariables are labeled in SPSS. \n\n### A list of important abbreviations, prefixes and suffixes:\n\n* PSI = Parasocial Interaction \n* PC = Player Character\n\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "https://osf.io/jvk3u/",
  "datePublished": "2015-10-07",
  "creator": {
    "@type": "Person",
    "givenName": "Nami",
    "familyName": "Sunami",
    "email": "naoyuki.sunami@gmail.com",
    "affiliation": {
      "@type": "Organization",
      "name": "University of Delaware, USA"
    }
  },
  "citation": "XXXXXXXXX",
  "url": "https://osf.io/XXXXXXXX/",
  "temporalCoverage": "2021",
  "spatialCoverage": "Delaware, United States\n# Distribution",
  "distribution": [
    {
      "@type": "DataDownload",
      "requiresSubscription": "http://schema.org/True",
      "encodingFormat": "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
      "contentUrl": "https://osf.io/XXXX/download"
    }
  ],
  "keywords": ["StartDate", "EndDate", "Status", "Progress", "Duration__in_seconds_", "Finished", "RecordedDate", "ResponseId", "DistributionChannel", "UserLanguage", "Q_RecaptchaScore", "Age", "Race", "Race_1", "Race_4", "Race_2", "Race_7", "Race_8", "Race_5", "Race_3", "Race_6", "Race_6_TEXT", "Relationship", "Relationship_7_TEXT", "Gender_Identity", "Gender_1", "Gender_2", "Gender_8", "Gender_6", "Gender_7", "Gender_7_TEXT", "Sexori", "Sexori_6_TEXT", "T1_Heart_1", "T1_Valence_1", "T1_Arousal_1", "T1_Dominance_1", "timer_inst_First_Click", "timer_inst_Last_Click", "timer_inst_Page_Submit", "timer_inst_Click_Count", "surrogate_vg", "nonsurrogate_vg", "Rejection_Essay", "Rejection_Timer_First_Click", "Rejection_Timer_Last_Click", "Rejection_Timer_Page_Submit", "Rejection_Timer_Click_Count", "NonSurrogacy_Essay", "Surrogacy_Essay", "VG_Essay_Timer_First_Click", "VG_Essay_Timer_Last_Click", "VG_Essay_Timer_Page_Submit", "VG_Essay_Timer_Click_Count", "T2_Heart_1", "T2_Valence_1", "T2_Arousal_1", "T2_Dominance_1", "Interact_with_NPC", "IOS", "PSI_1", "PSI_2R", "PSI_3", "PSI_4", "PSI_5", "PSI_6", "PSI_7", "PSI_8", "PSI_9R", "PSI_10R", "PSI_11", "PSI_12", "Single_Immersion", "Narrative_Engagement_1R", "Narrative_Engagement_2R", "Narrative_Engagement_3R", "Narrative_Engagement_4R", "Narrative_Engagement_5R", "Narrative_Engagement_6", "Narrative_Engagement_7", "Narrative_Engagement_8", "Narrative_Engagement_9", "OTF_Social_World_1", "OTF_Social_World_2", "OTF_Social_World_3", "OTF_Social_World_4", "Enjoyment_1", "Enjoyment_2", "Enjoyment_3R", "Enjoyment_4", "Enjoyment_5", "VG_When_Played", "VG_Freqency", "Attention_Rejection", "Attention_VG", "Study_Purpose", "Share_Anything", "STUDY_ID", "SESSION_ID", "attention_rejection_correct", "attention_VGessay_correct", "attention_all_correct", "debug", "debug_condition", "t_consent_submit", "t_age_submit", "t_race_submit", "t_relationship_submit", "t_gender_submit", "t_sexori_submit", "t_T1Heart_submit", "t_T1Valence_submit", "t_T1Arousal_submit", "t_T1Dominance_submit", "t_vgInst_submit", "t_videoGameNomination_submit", "t_rejectionEssayIntro_submit", "t_rejectionEssay_submit", "t_surrogacyEssayIntro_submit", "t_surrogacyEssay_submit", "t_T2Heart_submit", "t_T2Valence_submit", "t_T2Arousal_submit", "t_T2Dominance_submit", "t_intractCharacters_submit", "t_IOS_submit", "t_PSI_submit", "t_singleImmersion_submit", "t_narrativeEngagement_submit", "t_otfSocialWorld_submit", "t_enjoyment_submit", "t_frequency_submit", "t_attentionRejection_submit", "t_attentionVideoGame_submit", "t_debriefingInfo_submit", "essay_condition", "target_game_name", "Note", "PID", "PSI", "Narrative_Engagement", "OTF_Social_World", "Enjoyment", "essay_condition_title", "Gender_Identity_3GP", "Race_8GP", "parasocial_MC_group", "attention_VG_correct", "A", "B", "C", "agreeAB", "agreeAC", "agreeBC", "agreeAB_percent", "agreeAC_percent", "agreeBC_percent", "agree_overall_percent", "initial_codes", "highest_pair", "third_rater", "followed_VGinstructions"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "StartDate",
      "description": "Start Date",
      "@type": "propertyValue"
    },
    {
      "name": "EndDate",
      "description": "End Date",
      "@type": "propertyValue"
    },
    {
      "name": "Status",
      "description": "Response Type",
      "value": "0. IP Address,\n1. Survey Preview,\n2. Survey Test,\n4. Imported,\n8. Spam,\n9. Survey Preview Spam,\n12. Imported Spam,\n16. Offline,\n17. Offline Survey Preview,\n32. EX,\n40. EX Spam,\n48. EX Offline",
      "maxValue": 48,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Progress",
      "description": "Progress",
      "@type": "propertyValue"
    },
    {
      "name": "Duration__in_seconds_",
      "description": "Duration (in seconds)",
      "@type": "propertyValue"
    },
    {
      "name": "Finished",
      "description": "Finished",
      "value": "0. False,\n1. True",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "RecordedDate",
      "description": "Recorded Date",
      "@type": "propertyValue"
    },
    {
      "name": "ResponseId",
      "description": "Response ID",
      "@type": "propertyValue"
    },
    {
      "name": "DistributionChannel",
      "description": "Distribution Channel",
      "@type": "propertyValue"
    },
    {
      "name": "UserLanguage",
      "description": "User Language",
      "@type": "propertyValue"
    },
    {
      "name": "Q_RecaptchaScore",
      "description": "Q_RecaptchaScore",
      "@type": "propertyValue"
    },
    {
      "name": "Age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "Race",
      "@type": "propertyValue"
    },
    {
      "name": "Race_1",
      "description": "Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native",
      "value": "1. American Indian, Indigenous Canadian, or Alaska Native",
      "@type": "propertyValue"
    },
    {
      "name": "Race_4",
      "description": "Race - Selected Choice Asian",
      "value": "1. Asian",
      "@type": "propertyValue"
    },
    {
      "name": "Race_2",
      "description": "Race - Selected Choice Black",
      "value": "1. Black",
      "@type": "propertyValue"
    },
    {
      "name": "Race_7",
      "description": "Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican",
      "value": "1. Latino/Latina, Hispanic, Chicano, or Puerto Rican",
      "@type": "propertyValue"
    },
    {
      "name": "Race_8",
      "description": "Race - Selected Choice Middle Eastern or North African",
      "value": "1. Middle Eastern or North African",
      "@type": "propertyValue"
    },
    {
      "name": "Race_5",
      "description": "Race - Selected Choice Native Hawaiian or Pacific Islander",
      "value": "1. Native Hawaiian or Pacific Islander",
      "@type": "propertyValue"
    },
    {
      "name": "Race_3",
      "description": "Race - Selected Choice White",
      "value": "1. White",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6",
      "description": "Race - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6_TEXT",
      "description": "Race - Prefer to self-describe - Text",
      "value": "1. ,\n2. African European,\n3. Caucasian,\n4. Coloured,\n5. European,\n6. Italian,\n7. Mediterranean,\n8. Mediterranian,\n9. Mexican,\n10. Mixed white/black,\n11. No classification,\n12. Portuguese",
      "@type": "propertyValue"
    },
    {
      "name": "Relationship",
      "description": "Relationship Status - Selected Choice",
      "value": "1. Single—not interested in dating,\n2. Single—interested in dating,\n3. Dating Casually,\n4. Dating Exclusively,\n5. Engaged,\n6. Married,\n7. Other (specify):",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Relationship_7_TEXT",
      "description": "Relationship Status - Other (specify): - Text",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_1",
      "description": "Gender - Selected Choice Male",
      "value": "1. Male",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_2",
      "description": "Gender - Selected Choice Female",
      "value": "1. Female",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_8",
      "description": "Gender - Selected Choice Nonbinary",
      "value": "1. Nonbinary",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_6",
      "description": "Gender - Selected Choice Unsure",
      "value": "1. Unsure",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7",
      "description": "Gender - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7_TEXT",
      "description": "Gender - Prefer to self-describe - Text",
      "value": "1. ,\n2. Genderfluid,\n3. there are only two genders",
      "@type": "propertyValue"
    },
    {
      "name": "Sexori",
      "description": "Sexual Orientation - Selected Choice",
      "value": "1. Heterosexual,\n2. Gay/lesbian,\n3. Bisexual,\n7. Asexual,\n8. Pansexual,\n5. Unsure,\n6. Prefer to self-describe",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Sexori_6_TEXT",
      "description": "Sexual Orientation - Prefer to self-describe - Text",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Heart_1",
      "description": "T1 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Valence_1",
      "description": "T1 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Arousal_1",
      "description": "T1 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Dominance_1",
      "description": "T1 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "surrogate_vg",
      "description": "Social surrogate game",
      "@type": "propertyValue"
    },
    {
      "name": "nonsurrogate_vg",
      "description": "Non-social surrogate game",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Essay",
      "description": "Write about a time you felt rejected by a close other",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "NonSurrogacy_Essay",
      "description": "Write about the Non-Social Surrogacy Game",
      "@type": "propertyValue"
    },
    {
      "name": "Surrogacy_Essay",
      "description": "Write about the Social Surrogacy Game",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Heart_1",
      "description": "T2 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Valence_1",
      "description": "T2 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Arousal_1",
      "description": "T2 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Dominance_1",
      "description": "T2 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "Interact_with_NPC",
      "description": "Did you interact with an NPC?",
      "value": "1. Yes,\n2. No",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "IOS",
      "description": "IOS with an NPC",
      "value": "0. 0,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_1",
      "description": "PSI - I carefully followed the behavior of the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_2R",
      "description": "PSI - I hardly thought about why the non-player characters in the game did certain things they did.",
      "value": "4. 0 Not at all,\n3. 1,\n2. 2,\n1. 3,\n0. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_3",
      "description": "PSI - I kept wondering if I knew persons that are similar to the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_4",
      "description": "PSI - I became aware of aspects of the non-player characters in the game that I really liked or disliked.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_5",
      "description": "PSI - I kept asking myself how things would evolve around the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_6",
      "description": "PSI - Occasionally, I wondered if the non-player characters in the game were similar to me or not.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_7",
      "description": "PSI - Sometimes I really loved the non-player characters in the game for what they did.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_8",
      "description": "PSI - If the non-player characters in the game felt bad, I felt bad as well; if the non-player characters in the game felt good, I felt good as well.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_9R",
      "description": "PSI - The non-player characters in the game left me rather sober and unaffected.",
      "value": "4. 0 Not at all,\n3. 1,\n2. 2,\n1. 3,\n0. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_10R",
      "description": "PSI - Whatever the non-player characters in the game said or did—I kept still.",
      "value": "4. 0 Not at all,\n3. 1,\n2. 2,\n1. 3,\n0. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_11",
      "description": "PSI - Occasionally, I said something to the non-player characters in the game on impulse.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_12",
      "description": "PSI - Sometimes I felt like speaking out on the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Single_Immersion",
      "description": "While playing the game, I felt completely immersed.",
      "value": "-3. Strongly disagree  -3,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. Strongly agree  3",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_1R",
      "description": "NE - At points, I had a hard time making sense of what was going on in the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_2R",
      "description": "NE - I had a hard time recognizing the thread of the story in the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_3R",
      "description": "NE - I found my mind wandering while I played the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_4R",
      "description": "NE - While I was playing the game, I found myself thinking about other things.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_5R",
      "description": "NE - I had a hard time keeping my mind on the game while I played.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_6",
      "description": "NE - While playing, my body was in the room, but my mind was inside the world created by the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_7",
      "description": "NE - The game created a new world, and then that world suddenly disappeared when I stopped playing the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_8",
      "description": "NE - At times during the gameplay, the world of the video game was closer to me than the real world.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_9",
      "description": "NE - The gameplay affected me emotionally.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_1",
      "description": "OTF Social World - The video game presented stories that I immersed myself in",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_2",
      "description": "OTF Social World - The video game presented another social world where I felt like I belonged",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_3",
      "description": "OTF Social World - The video game had a social narrative that told an engaging story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_4",
      "description": "OTF Social World - I found myself getting “lost” in the game’s story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_1",
      "description": "Enjoyment - I think the game is fun.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_2",
      "description": "Enjoyment - I enjoy playing the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_3R",
      "description": "Enjoyment - I feel bored while playing the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_4",
      "description": "Enjoyment - I am likely to recommend this game to others.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_5",
      "description": "Enjoyment - If given the chance, I want to play this game again.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "VG_When_Played",
      "description": "When did you play the game?",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Freqency",
      "description": "How frequently and how long did you play the game?",
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Rejection",
      "description": "What did you write in the first essay?",
      "value": "1. about a time I felt rejected,\n2. about a time I felt accepted,\n3. about my morning yesterday",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_VG",
      "description": "What did you write in the second essay?",
      "value": "1. ${q://QID3/ChoiceTextEntryValue},\n2. ${q://QID4/ChoiceTextEntryValue},\n3. unsure",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Study_Purpose",
      "description": "Did you wonder about the purposes?",
      "@type": "propertyValue"
    },
    {
      "name": "Share_Anything",
      "description": "Is there anything you'd like to share?",
      "@type": "propertyValue"
    },
    {
      "name": "STUDY_ID",
      "description": "STUDY_ID",
      "@type": "propertyValue"
    },
    {
      "name": "SESSION_ID",
      "description": "SESSION_ID",
      "@type": "propertyValue"
    },
    {
      "name": "attention_rejection_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_VGessay_correct",
      "description": "attention_VGessay_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_all_correct",
      "@type": "propertyValue"
    },
    {
      "name": "debug",
      "description": "debug",
      "@type": "propertyValue"
    },
    {
      "name": "debug_condition",
      "description": "debug_condition",
      "@type": "propertyValue"
    },
    {
      "name": "t_consent_submit",
      "description": "t_consent_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_age_submit",
      "description": "t_age_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_race_submit",
      "description": "t_race_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_relationship_submit",
      "description": "t_relationship_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_gender_submit",
      "description": "t_gender_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_sexori_submit",
      "description": "t_sexori_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Heart_submit",
      "description": "t_T1Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Valence_submit",
      "description": "t_T1Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Arousal_submit",
      "description": "t_T1Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Dominance_submit",
      "description": "t_T1Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_vgInst_submit",
      "description": "t_vgInst_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_videoGameNomination_submit",
      "description": "t_videoGameNomination_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssayIntro_submit",
      "description": "t_rejectionEssayIntro_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssay_submit",
      "description": "t_rejectionEssay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_surrogacyEssayIntro_submit",
      "description": "t_surrogacyEssayIntro_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_surrogacyEssay_submit",
      "description": "t_surrogacyEssay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Heart_submit",
      "description": "t_T2Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Valence_submit",
      "description": "t_T2Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Arousal_submit",
      "description": "t_T2Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Dominance_submit",
      "description": "t_T2Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_intractCharacters_submit",
      "description": "t_intractCharacters_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_IOS_submit",
      "description": "t_IOS_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_PSI_submit",
      "description": "t_PSI_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_singleImmersion_submit",
      "description": "t_singleImmersion_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_narrativeEngagement_submit",
      "description": "t_narrativeEngagement_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_otfSocialWorld_submit",
      "description": "t_otfSocialWorld_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_enjoyment_submit",
      "description": "t_enjoyment_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_frequency_submit",
      "description": "t_frequency_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionRejection_submit",
      "description": "t_attentionRejection_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionVideoGame_submit",
      "description": "t_attentionVideoGame_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_debriefingInfo_submit",
      "description": "t_debriefingInfo_submit",
      "@type": "propertyValue"
    },
    {
      "name": "essay_condition",
      "@type": "propertyValue"
    },
    {
      "name": "target_game_name",
      "description": "target_game_name",
      "@type": "propertyValue"
    },
    {
      "name": "Note",
      "description": "Note",
      "@type": "propertyValue"
    },
    {
      "name": "PID",
      "@type": "propertyValue"
    },
    {
      "name": "PSI",
      "description": "12 PSI items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement",
      "description": "9 Narrative_Engagement items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World",
      "description": "4 OTF_Social_World items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment",
      "description": "5 Enjoyment items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "essay_condition_title",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity_3GP",
      "@type": "propertyValue"
    },
    {
      "name": "Race_8GP",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial_MC_group",
      "value": "1. No Interaction with NPC,\n2. No Parasocial Relationship with NPC,\n3. Formed Parasocial Relationship with NPC",
      "@type": "propertyValue"
    },
    {
      "name": "attention_VG_correct",
      "@type": "propertyValue"
    },
    {
      "name": "A",
      "@type": "propertyValue"
    },
    {
      "name": "B",
      "@type": "propertyValue"
    },
    {
      "name": "C",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAB",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAC",
      "@type": "propertyValue"
    },
    {
      "name": "agreeBC",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAB_percent",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAC_percent",
      "@type": "propertyValue"
    },
    {
      "name": "agreeBC_percent",
      "@type": "propertyValue"
    },
    {
      "name": "agree_overall_percent",
      "@type": "propertyValue"
    },
    {
      "name": "initial_codes",
      "@type": "propertyValue"
    },
    {
      "name": "highest_pair",
      "@type": "propertyValue"
    },
    {
      "name": "third_rater",
      "@type": "propertyValue"
    },
    {
      "name": "followed_VGinstructions",
      "@type": "propertyValue"
    }
  ]
}`
# Save the codebook summary information as csv
s2_codebook_tibble <- codebook_table(s2_df)
## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".
write_csv(s2_codebook_tibble,
          here("codebooks", "Study 2 - Codebook Table.csv"))